Using speech act theory from the Philosophy of Language, this paper attempts to develop an ethical framework for the phenomenon of speech processing. We use the concepts of the illocutionary force and the illocutionary content of a speech act to explain the ethics of speech processing. By emphasizing the different stages involved in speech processing, we explore the distinct ethical issues that arise in relation to each stage. Input, processing, and output (...) are the different ethically relevant stages under which a spoken item or a speech navigates within the range of speech-processing modules. Employing the illocutionary force-content distinction, we specify and characterize the input-related ethical issues, the output-related ethical issues, and the processing-related ethical issues involved in speech processing. Together with illocutionary force-content distinction, we employ the data-information distinction to characterize the stage-wise ethical issues in the phenomenon of speech processing as the ethics of collecting (speech) data, the ethics of contextualizing (speech) data/information, and the ethics of releasing the con-textualized information (processed speech). Immediate ethical issues that arise from the range of speech processing modules are distinguished from distant ethical issues. We also indicate the nature of ethical issues that arise from Speaker Independent speech technologies. (shrink)

In this paper I provide a speech act analysis of microaggressions. After adopting a notion of microaggressions found in the political philosophy literature, I provide an account of both the illocutionary force and perlocutionary effects of microaggressions. I show that there are two parts to microaggressions’ illocutionary force: (i) the general Austinian linguistic conventions; (ii) socio-political conventions that change the speech act into a microaggression. Despite the varied speech acts that can count as (...) microaggressions, I identify a unique perlocutionary effect common to all, perlocutionary frustration, in which the recipient of a microaggression is frustrated or inhibited from addressing the harms that microaggressions cause. The recipient is not necessarily silenced insofar as they are prevented from performing certain illocutionary acts. Instead, the illocutionary acts do not have their intended perlocutionary effects. (shrink)

This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains—healthcare, finance, education, robotics, industrial and other engineering applications —unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice. Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics—machine learning, natural (...) language processing, computer vision, data analytics and supervisory control — the volume showcases state-of-the-art techniques propelling AI advancements. Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements. Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation. Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society. Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements. Catering to a diverse audience—from industry leaders to students—the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments. (shrink)

Speech acts and the autonomy of linguistic pragmatics This paper comments on selected problems of the definition of linguistic pragmatics with a focus on notions associated with speech act theory in the tradition of John Langshaw Austin. In more detail it concentrates on the relevance of the use of the Austinian categorisation into locution, illocution, and perlocution in locating a divide in between pragmatics and semantics, and especially the distinction between the locutionary act and the illocutionary act (...) and its implications for the definition of pragmatics and its separation from the semantic theory.The relation between form and meaning is further briefly reviewed against dichotomies including the Gricean and neo-Gricean ‘what is said’ versus ‘what is implicated’ or meant, between what can be ‘locuted’, but not said, and what can be said, but not asserted. These dichotomies are related to the theoretical commitments as to the accepted operative forces in speech acts, primarily convention and intention. It is suggested that, roughly, the development of the speech act theory can be viewed as a process by which the theory moves away from its originally sociolinguistic orientation towards a more psychologistic account, which in turn leads towards diminishing the role of semantics and the subsequent juxtaposition of pragmatics and syntax rather than pragmatics and semantics. (shrink)

Elephant 2000 is a proposed programming language good for writing and verifying programs that interact with people (eg. transaction processing) or interact with programs belonging to other organizations (eg. electronic data interchange) 1. Communication inputs and outputs are in an I-O language whose sentences are meaningful speech acts identified in the language as questions, answers, offers, acceptances, declinations, requests, permissions and promises. 2. The correctness of programs is partly defined in terms of proper performance of the speech acts. (...) Answers should be truthful and responsive, and promises should be kept. Sentences of logic expressing these forms of correctness can be generated automatically from the form of the program. 3. Elephant aource programs may not need data structures, because they can refer directly to the past. Thus a program can say that an airline passenger has a reservation if he has made one and hasn't cancelled it. 4. Elephant programs themselves can be represented as sentences of logic. Their extensional properties follow from this representation without an intervening theory of programming or anything like Hoare axioms. 5. Elephant programs that interact non-trivially with the outside world can have both input-output specification, relating the programs inputs and outputs, and accomplishment specifications concerning what the program accomplishes in the world. These concepts are respectively generalizations of the philosophers' illocutionary and perlocutionary speech acts. 6. Programs that engage in commercial transactions assume obligations on behalf of their owners in exchange for obligations assumed by other entities. It may be part of the specification of an Elephant 2000 program that these obligations are exchanged as intended, and this too can be expressed by a logical sentence. 7. Human speech acts involve intelligence. Elephant 2000 is on the borderline of AI, but the article emphasizes the Elephant usages that do not require AI. (shrink)

The use of artificial intelligence (AI) in hiring entails vast ethical challenges. As such, using an ethical lens to study this phenomenon is to better understand whether and how AI matters in hiring. In this paper, we examine whether ethical perceptions of using AI in the hiring process influence individuals’ trust in the organizations that use it. Building on the organizational trust model and the unified theory of acceptance and use of technology, we explore whether ethical perceptions are shaped by (...) individual differences in performance expectancy and social influence and how they, in turn, impact organizational trust. We collected primary data from over 300 individuals who were either active job seekers or who had recent hiring experience to capture perceptions across the full range of hiring methods. Our findings indicate that performance expectancy, but not social influence, impacts the ethical perceptions of AI in hiring, which in turn influence organizational trust. Additional analyses indicate that these findings vary depending on the type of hiring methods AI is used for, as well as on whether participants are job seekers or individuals with hiring experience. Our study offers theoretical and practical implications for ethics in HRM and informs policy implementation about when and how to use AI in hiring methods, especially as it pertains to acting ethically and trustworthily. (shrink)

The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black box algorithms. These worries connect epistemic concerns with normative issues. In this paper, we outline that black box algorithms are less problematic for epistemic reasons than many scholars seem to believe. By outlining that more transparency in algorithms is not always necessary, and by explaining that (...) computational processes are indeed methodologically opaque to humans, we argue that the reliability of algorithms provides reasons for trusting the outcomes of medical artificial intelligence. To this end, we explain how computational reliabilism, which does not require transparency and supports the reliability of algorithms, justifies the belief that results of medical AI are to be trusted. We also argue that several ethical concerns remain with black box algorithms, even when the results are trustworthy. Having justified knowledge from reliable indicators is, therefore, necessary but not sufficient for normatively justifying physicians to act. This means that deliberation about the results of reliable algorithms is required to find out what is a desirable action. Thus understood, we argue that such challenges should not dismiss the use of black box algorithms altogether but should inform the way in which these algorithms are designed and implemented. When physicians are trained to acquire the necessary skills and expertise, and collaborate with medical informatics and data scientists, black box algorithms can contribute to improving medical care. (shrink)

Slurs are derogatory words; they seem to express contempt and hatred toward marginalized groups. They are used to insult and derogate their victims. Moreover, slurs give rise to philosophical questions. In virtue of what is the word “chink,” unlike “Chinese,” a derogatory word? Does “chink” refer to the same group as “Chinese”? If “chink” is a derogatory word, how is it possible to use it in a non-derogatory way (e.g., by Chinese comedians or between Chinese friends)? Many theories of slurs (...) answer these questions by assuming that slurs communicate derogatory messages. However, little attention has been paid to the speech acts slurs are used to perform. In this dissertation, I argue that slurs are illocutionary force indicators: words to perform the speech acts of derogation. “Chink” is a derogatory word because its use is to derogate the Chinese, just like the phrase “I promise” has the use to make a promise. To derogate the Chinese is to enforce a norm which assigns to them an inferior normative status. Slurs are also propositional indicators: words that contribute to the truth-conditions. “Chink” has the same referent as “Chinese,” its neutral counterpart. Appealing to speech act theory enables my theory to answer questions about slurs, e.g., slurs can be used in non-derogatory ways because the felicity conditions of derogation are not met. To illustrate the advantage of my theory, I will explain how other theories of slurs fall short because they take positions opposite to mine on certain issues. For instance, Mark Richard’s theory, unlike mine, takes utterances of slurs to have no truth values. It follows from his theory, I will argue, that lying with “Chang is a chink” is impossible. Finally, I will defend the force indicator theory from common objections. My force indicator theory provides a case study of the use theory of meaning and a framework for political philosophers to study the harm of slurs. (shrink)

Marina Sbisà has long advocated that we think of the illocutionary force of a speech act in terms of the act’s (predictable) systematic effects on the normative relationship between a speaker and her audience. Building on this idea, I argue that the hypothesis of distinctive speech act norms can be used to explain how participants in a conversation coordinate the normative expectations they have of one another in conversation. Such an explanation earns its keep by explaining (...) how speakers render themselves illocutionarily intelligible to their audiences—thereby enabling us to articulate the sense of mutuality that characterizes speech exchanges. One important upshot of my reflections is that we should reject both Austin’s thesis that the successful performance of an illocutionary act depends on audience uptake and Sbisà’s claim that Austin’s thesis is required if we are to make sense of the illocutionary dimension of speech in terms of an act’s systematic effects on participants’ normative expectations of one another. (shrink)

Illocutionary Force and Romanian Orthodox Sermons: An Application of Speech Act Theory to Some Romanian Orthodox Sermons The aim of the paper is to analyze religious discourse with the use of the instruments of semantics and pragmatics. Essentially, it sets out to identify the linguistic elements which enable the illocutionary force in the Romanian orthodox sermons, especially in the discourse of some important figures which have influenced and still influence the Romanian orthodox theology and the (...) religious life in Romania: Father Cleopa, Father Nicolae Steinhardt, and, nowadays, Father Teofil Pârâianu. It is usually assumed that a sermon implies, on the one hand, a kerugmatik action, that of annunciation, and, on the other hand, a translating action of the biblical induce the human will to practice the words in order to Christian precepts. Mutatis mutandis, the perlocutionary effect depends on the illocutionary act and of the illocutionary force. In theory, the illocutionary force of an utterance is strictly motivated by the pragmatic. But there are linguistic elements which function as efficient markers of the illocutionary force, for example performative verbs, verbal moods and some adverbs. The criteria proposed by Searle in order to differentiate the illocutionary acts resulted in the identification of several types inside this class. Searle's taxonomy serves the research purposes: the identification of illocutionary acts found in this kind of religious discourse and, finally, outlining a pattern of manifestation of the illocutionary force inside the sermon. (shrink)

Purpose As Big Data and Artificial Intelligence (AI) proliferate, calls have emerged for ethical reflection. Ethics guidelines have played a central role in this respect. While quantitative research on the ethics guidelines of AI/Big Data has been undertaken, there has been a dearth of systematic qualitative analyses of these documents. Design/methodology/approach Aiming to address this research gap, this paper analyses 70 international ethics guidelines documents from academia, NGOs and the corporate realm, published between 2017 and 2020. Findings (...) The article presents four key findings: existing ethics guidelines (1) promote a broad spectrum of values; (2) focus principally on AI, followed by (Big) Data and algorithms; (3) do not adequately define the term “ethics” and related terms; and (4) have most frequent recourse to the values of “transparency,” “privacy,” and “security.” Based on these findings, the article argues that the guidelines corpus exhibits discernible utilitarian tendencies; guidelines would benefit from greater reflexivity with respect to their ethical framework; and virtue ethical approaches have a valuable contribution to make to the process of guidelines development. Originality/value The paper provides qualitative insights into the ethical discourse surrounding AI guidelines, as well as a concise overview of different types of operative translations of theoretical ethical concepts vis-à-vis the sphere of AI. These may prove beneficial for (applied) ethicists, developers and regulators who understand these guidelines as policy. (shrink)

Katz offers such a grammatical account, in which makes it possible for the first time to explain the illocutionary potential of sentences within grammar.

In this short article, I analyze forms of public speech by individuals in positions of power through a framework based on Austin’s theory of speech acts. I argue that because of the illocutionary and perlocutionary force attached to such individuals’ offices and their public figures, their public speech qualifies for being framed as speech acts—which are not covered by even a broad understanding of freedom of speech or right to privacy. Therefore, I formulate (...) a call for the assessment of public speech by individuals in positions of power through a framework based on “linguistic responsibility.” This framework accounts for the peculiar power structure that such individuals can and do exploit to bring about considerable real-world effects through what could be understood as an exploitation of their speech act power. (shrink)

Despite its status at the heart of a closely related field, philosophers have so far mostly overlooked a phenomenon sociolinguists call ‘social meaning’. My aim in this paper will be to show that by properly acknowledging the significance of social meanings, we can identify an important new set of forms that discursive injustice takes. I begin by surveying some data from variationist sociolinguistics that reveal how subtle differences in the way a particular content is expressed allow us to perform importantly (...) different illocutionary actions, actions we use to do things like constructing a public persona and building a rapport with an audience. The social importance of these activities and the pervasiveness of our engagement in them means that the ethical stakes involved are high—substantial injustices may result if speakers from different social groups are differently empowered with regard to the illocutionary possibilities made available to them by variation. (shrink)

The Data Protection Act 1998 presents a number of significant challenges to data controllers in the health sector. To assist data controllers in understanding their obligations under the act, the Information Commissioner has published guidance, The Use and Disclosure of Health Data, which is reproduced here. The guidance deals, among other things, with the steps that must be taken to obtain patient data fairly, the implied requirements of the act to use anonymised or psuedonymised data where possible, an exemption applicable (...) principally to records based research, the right of patients to object to the processing of their data, and the interface of the act and the common law duty of confidence. (shrink)

The ethical criticism of art has recently begun to address the subject of immoral artists, with two questions seeming to dominate discussion. How does moral misconduct on the part of artists affect their work’s aesthetic value? How should the art world respond to cases of artists who have been accused of morally outrageous behaviour? Such value and policy debates are important, but they leave aside a pressing question towards which this article proposes a reorientation: What is the possible impact of (...) an artist’s moral ill repute on how we understand the meaning of their work? I argue in this paper that an artist’s bad moral reputation can lead (i) to participatory resistance to an art work, as viewers abstain from a response to the work’s illocutionary force, (ii) to the isolation of the work from the ‘quality context’ that normally allows propositions expressed by the work to be taken as sincere, (iii) to the reinterpretation of the work’s propositional content against the background of new knowledge about the author, and (iv) to the perception of the work as a lie. To illustrate, I look at works by Chuck Close and Jan Fabre, contemporary artists whose reputation has been affected by a scandal. (shrink)

While open science gains prominence in South Africa with the encouragement of open data sharing for research purposes, there are stricter laws and regulations around privacy – and specifically the use, management and transfer of personal information – to consider. The Protection of Personal Information Act No. 4 of 2013 (POPIA), which came into effect in 2021, established stringent requirements for the processing of personal information and has changed the regulatory landscape for the transfer of personal information across South African (...) borders. At the same time, draft national policies on open science encourage wide accessibility to data and open data sharing in line with international best practice. As a result, the operation of research ethics committees (RECs) in South Africa is affected by the conflicting demands of the shift towards open science on the one hand, and the stricter laws protecting participants’ personal information and the transfer thereof, on the other. This article explores the continuing evolving role of RECs in the era of open data and recommends the development of a data transfer agreement (DTA) for the ethical management of personal health information, considering the challenges that RECs encounter, which centres predominantly on privacy, data sharing and access concerns following advances in genetic and genomic research and biobanking. (shrink)

The ethics of artificial intelligence (AI) is a research topic with both theoretical and practical significance. However, the ethical and moral aspects of conceptual, ontological, semantic, and knowledge modeling, more specifically, and which are sometimes found in AI applications, is not being given sufficient attention. I argue that it should. Whether considering using or developing these meaning-focused models, there are ethical aspects. This paper offers a preliminary outline about this potentially new research field, discussing: some questions and areas of (...) concern, their significance; scenarios of ethical import, and initial ethical guidelines. A focus area, potential case study, and lens through which to see the ethical significance at hand, is ontologies, with emphasis on the most abstract ontologies (so-called generic, foundational, top-level or upper ontologies). This would aim to show the ethical import of highly abstract (often philosophical) ontological choices, assumptions, and their effects on data, developers, users, and society. In particular, I stress the need for critical examination of such models, their content, their intended meanings, assumptions, ideologies, as well as the development process. Both the ethics of, and ethics in, these activities are, therefore, of interest. Topics in the ethics of AI that are relevant include: transparency, bias, data-sharing, privacy, control over data, etc. This paper thereby contributes to the ethics of AI, as well as the ethics of information, of knowledge managment and relevant topics by developing and discussing the ethics of ontology (and similar systems). Future development will refine and add to the ideas expressed in this paper. (shrink)

Data analytics and data-driven approaches in Machine Learning are now among the most hailed computing technologies in many industrial domains. One major application is predictive analytics, which is used to predict sensitive attributes, future behavior, or cost, risk and utility functions associated with target groups or individuals based on large sets of behavioral and usage data. This paper stresses the severe ethical and data protection implications of predictive analytics if it is used to predict sensitive information about single individuals or (...) treat individuals differently based on the data many unrelated individuals provided. To tackle these concerns in an applied ethics, first, the paper introduces the concept of “predictive privacy” to formulate an ethical principle protecting individuals and groups against differential treatment based on Machine Learning and Big Data analytics. Secondly, it analyses the typical data processing cycle of predictive systems to provide a step-by-step discussion of ethical implications, locating occurrences of predictive privacy violations. Thirdly, the paper sheds light on what is qualitatively new in the way predictive analytics challenges ethical principles such as human dignity and the (liberal) notion of individual privacy. These new challenges arise when predictive systems transform statistical inferences, which provide knowledge about the cohort of training data donors, into individual predictions, thereby crossing what I call the “prediction gap”. Finally, the paper summarizes that data protection in the age of predictive analytics is a collective matter as we face situations where an individual’s (or group’s) privacy is violated using dataotherindividuals provide about themselves, possibly even anonymously. (shrink)

This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. -/- The authors (...) interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. -/- Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. -/- This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them. (shrink)

Background Caring behaviour is critical for nursing quality, and the clinical internship environment is a crucial setting for preparing nursing students for caring behaviours. Evidence about how to develop nursing students’ caring behaviour in the clinical environment is still emerging. However, the mechanism between the clinical internship environment and caring behaviour remains unclear, especially the mediating role of moral sensitivity and the moderating effect of self-efficacy. Research objective This study aimed to examine the mediating effect of moral sensitivity and the (...) moderating function of self-efficacy on the association between the clinical internship environment and caring behaviours. Research design A cross-sectional design used acceptable validity scales. The hypothesised moderated mediation model was tested in the SPSS PROCESS macro. Participants and research context This survey collected data from 504 nursing students in an internship at a teaching hospital in Changsha, China. Ethical considerations This study was pre-approved by the ethics committee of the medical school (No. E2022210). Informed consent was obtained from all students. Results The clinical internship environment ( B = 0.450, 95% CI = [0.371, 0.530]) and moral sensitivity ( B = 1.352, 95% CI = [1.090, 1.615]) had positive direct effects on nursing students' caring behaviours. Clinical internship environment also indirectly influenced students’ caring behaviours via moral sensitivity ( B = 0.161, 95% CI = [0.115, 0.206]). In addition, self-efficacy played a moderating role between the clinical internship environment and caring behaviours ( B = 0.019, 95% CI = [0.007, 0.031]), as well as the relationship between the clinical internship environment and moral sensitivity ( B = 0.006, 95% CI = [0.003, 0.010]). Conclusion Moral sensitivity mediates the effect of the clinical internship environment on caring behaviour, and self-efficacy strengthens both direct and indirect effects. This study emphasises the importance of self-efficacy in developing moral sensitivity and caring behaviours in nursing students. (shrink)

This article provides a speech act analysis of ‘crime-enacting’ provisions in criminal statutes, focusing on the illocutionary force of these provisions. These provisions commonly set out not only particular crimes and their characteristics but also their associated penalties. Enactment of a statute brings into force new social facts, typically norms, through the official utterance of linguistic material. These norms are supposed to guide behaviour: they tell us what we must, may, or must not do. Our main (...) claim is that the illocutionary force of such provisions is primarily ‘world-creating’, i.e. effective, or declarational, rather than directive. We assume that directive illocutionary force is either direct or indirect, showing that provisions need not contain the linguistic items that make for direct directives and that according to standard tests no indirect directive is present. A potential counter-argument is that any utterance serving to direct behaviour is necessarily a directive. We show that this behaviour-directing property is shared by some clear non-directives. (shrink)

Aims To examine the understanding of the ethical dilemmas associated with Big Data and artificial intelligence (AI) among Jordanian medical students, physicians in training, and senior practitioners. Methods We implemented a literature-validated questionnaire to examine the knowledge, attitudes, and practices of the target population during the period between April and August 2023. Themes of ethical debate included privacy breaches, consent, ownership, augmented biases, epistemology, and accountability. Participants’ responses were showcased using descriptive statistics and compared between groups using t-test or ANOVA. (...) Results We included 466 participants. The greater majority of respondents were interns and residents (50.2%), followed by medical students (38.0%). Most participants were affiliated with university institutions (62.4%). In terms of privacy, participants acknowledged that Big Data and AI were susceptible to privacy breaches (39.3%); however, 59.0% found such breaches justifiable under certain conditions. For ethical debacles involving informed consent, 41.6% and 44.6% were aware that obtaining informed consent posed an ethical limitation in Big Data and AI applications and denounced the concept of “broad consent”, respectively. In terms of ownership, 49.6% acknowledged that data cannot be owned yet accepted that institutions could hold a quasi-control of such data (59.0%). Less than 50% of participants were aware of Big Data and AI’s abilities to augment or create new biases in healthcare. Furthermore, participants agreed that researchers, institutions, and legislative bodies were responsible for ensuring the ethical implementation of Big Data and AI. Finally, while demonstrating limited experience with using such technology, participants generally had positive views of the role of Big Data and AI in complementing healthcare. Conclusion Jordanian medical students, physicians in training and senior practitioners have limited awareness of the ethical risks associated with Big Data and AI. Institutions are responsible for raising awareness, especially with the upsurge of such technology. (shrink)

EDUCERE is a government funded research and development project. EDUCERE objectives are to investigate, develop, and evaluate innovative solutions for society to detect changes in psychomotor development through the natural interaction of children with toys and everyday objects, and perform stimulation and early attention activities in real environments such as home and school. In the EDUCERE project, an ethical impact assessment is carried out linked to a minors’ data protection rights. Using a specific methodology, the project has achieved some promising (...) results. These include use of a prototype of smart toys to detect development difficulties in children. In addition, privacy protection measures which take into account the security concerns of health data, have been proposed and applied. This latter security framework could be useful in other Internet of Things related projects. It consists of legal and technical measures. Special attention has been placed in the transformation of bulk data such as acceleration and jitter of toys into health data when patterns of atypical development are found. The article describes the different security profiles in which users are classified. (shrink)

BackgroundIncreasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorphic encryption allows computations to be performed on data without this data ever being decrypted. Therefore, homomorphic encryption represents a potential solution for conducting feasibility studies on cohorts of sensitive patient data stored in distributed locations. Distributed ledger technology provides a permanent record on all transfers and processing of patient data, (...) allowing data custodians to audit access. A significant portion of the current literature has examined how these technologies might comply with data protection and research ethics frameworks. In the Swiss context, these instruments include the Federal Act on Data Protection and the Human Research Act. There are also institutional frameworks that govern the processing of health related and genetic data at different universities and hospitals. Given Switzerland’s geographical proximity to European Union (EU) member states, the General Data Protection Regulation (GDPR) may impose additional obligations.MethodsTo conduct this assessment, we carried out a series of qualitative interviews with key stakeholders at Swiss hospitals and research institutions. These included legal and clinical data management staff, as well as clinical and research ethics experts. These interviews were carried out with two series of vignettes that focused on data discovery using homomorphic encryption and data erasure from a distributed ledger platform.ResultsFor our first set of vignettes, interviewees were prepared to allow data discovery requests if patients had provided general consent or ethics committee approval, depending on the types of data made available. Our interviewees highlighted the importance of protecting against the risk of reidentification given different types of data. For our second set, there was disagreement amongst interviewees on whether they would delete patient data locally, or delete data linked to a ledger with cryptographic hashes. Our interviewees were also willing to delete data locally or on the ledger, subject to local legislation.ConclusionOur findings can help guide the deployment of these technologies, as well as determine ethics and legal requirements for such technologies. (shrink)

As the artificial intelligence (AI) ethics field is currently working towards its operationalisation, ethics review as carried out by research ethics committees (RECs) constitutes a powerful, but so far underdeveloped, framework to make AI ethics effective in practice at the research level. This article contributes to the elaboration of research ethics frameworks for research projects developing and/or using AI. It highlights that these frameworks are still in their infancy and in need of a structure and (...) criteria to ensure AI research projects advance in a way that respects norms and principles. This article proposes to draw from the European Union’s AI Act currently in development to shape these frameworks. Although, in the current form of the draft (as of August 2023), the obligations of the AI Act do not apply to scientific research, it is most likely that they will still have a strong impact on AI research considering the need to anticipate market placement or to test new tools in real world conditions. This article investigates what the risk-based approach in the AI Act implies for research ethics and highlights some AI Act obligations of particular value to implement for ethics review processes. (shrink)

Digital Earth applications provide a common ground for visualizing, simulating, and modeling real-world situations. The potential of Digital Earth applications has increased significantly with the evolution of artificial intelligence systems and the capacity to collect and process complex amounts of geospatial data. Yet, the widespread techno-optimism at the root of Digital Earth must now confront concerns over high-risk artificial intelligence systems and power asymmetries of a datafied society. In this commentary, we claim that not only can current debates about data (...) governance and ethical artificial intelligence inform development in the field of Digital Earth, but that the specificities of geospatial data, together with the expectations surrounding Digital Earth applications, offer a fruitful lens through which to examine current debates on data governance and artificial intelligence ethics. In particular, we argue that for the implementation of ethical artificial intelligence and inclusive approaches to data governance, Digital Earth initiatives need to involve stakeholders and communities at the local level and be sensitive to social, legal, cultural, and institutional contexts, including conflicts that might arise within those contexts. (shrink)

In this paper, we discuss several problems with current Big data practices which, we claim, seriously erode the role of informed consent as it pertains to the use of personal information. To illustrate these problems, we consider how the notion of informed consent has been understood and operationalised in the ethical regulation of biomedical research (and medical practices, more broadly) and compare this with current Big data practices. We do so by first discussing three types of problems that can impede (...) informed consent with respect to Big data use. First, we discuss the transparency (or explanation) problem. Second, we discuss the re-repurposed data problem. Third, we discuss the meaningful alternatives problem. In the final section of the paper, we suggest some solutions to these problems. In particular, we propose that the use of personal data for commercial and administrative objectives could be subject to a ‘soft governance’ ethical regulation, akin to the way that all projects involving human participants (e.g., social science projects, human medical data and tissue use) are regulated in Australia through the Human Research Ethics Committees (HRECs). We also consider alternatives to the standard consent forms, and privacy policies, that could make use of some of the latest research focussed on the usability of pictorial legal contracts. (shrink)

Speech act theorists tend to hold that the illocutionary force of an utterance is determined by one interlocutor alone: either the speaker or the hearer. Yet experience tells us that the force of our utterances is not determined unilaterally. Rather, communication often feels collaborative. In this paper, I develop and defend a collaborative theory of illocutionary force, according to which the illocutionary force of an utterance is determined by an agreement reached by (...) the speaker and the hearer. This theory, which builds upon linguistic and sociological work on adjacency pairs and conversational interaction, can accommodate the complexity of speaker intentions (which may be disjunctive, indeterminate, and/or inconsistent over time), and renders speech act theory more compatible with theories of common ground. (shrink)

Purpose – Ubiquitous computing and “big data” have been widely recognized as requiring new concepts of privacy and new mechanisms to protect it. While improved concepts of privacy have been suggested, the paper aims to argue that people acting in full conformity to those privacy norms still can infringe the privacy of others in the context of ubiquitous computing and “big data”. Design/methodology/approach – New threats to privacy are described. Helen Nissenbaum's concept of “privacy as contextual integrity” is reviewed concerning (...) its capability to grasp these problems. The argument is based on the assumption that the technologies work, persons are fully informed and capable of deciding according to advanced privacy considerations. Findings – Big data and ubiquitous computing enable privacy threats for persons whose data are only indirectly involved and even for persons about whom no data have been collected and processed. Those new problems are intrinsic to the functionality of these new technologies and need to be addressed on a social and political level. Furthermore, a concept of data minimization in terms of the quality of the data is proposed. Originality/value – The use of personal data as a threat to the privacy of others is established. This new perspective is used to reassess and recontextualize Helen Nissenbaum's concept of privacy. Data minimization in terms of quality of data is proposed as a new concept. (shrink)

:This article considers recent ethical topics relating to medical AI. After a general discussion of recent medical AI innovations, and a more analytic look at related ethical issues such as data privacy, physician dependency on poorly understood AI helpware, bias in data used to create algorithms post-GDPR, and changes to the patient–physician relationship, the article examines the issue of so-called robot doctors. Whereas the so-called democratization of healthcare due to health wearables and increased access to medical information might suggest a (...) positive shift in the patient-physician relationship, the physician’s ‘need to care’ might be irreplaceable, and robot healthcare workers might be seen as contributing to dehumanized healthcare practices. (shrink)

Recently, several philosophers have recast feminist arguments against pornography in terms of Speech Act Theory. In particular, they have considered the ways in which the illocutionary force of pornographic speech serves to set the conventions of sexual discourse while simultaneously silencing the speech of women, especially during unwanted sexual encounters. Yet, this raises serious questions as to how pornographers could (i) be authorities in the language game of sex, and (ii) set the conventions for sexual (...) discourse - questions which these speech act-theoretic arguments against pornography have thus far failed to adequately answer. I fill in this gap of the argumentation by demonstrating that there are fairly weak standards for who counts as an authority or convention-setter in sexual discourse. With this analysis of the underpinnings of a speech act analysis of pornography in mind, I discuss a range of possible objections. I conclude that (i) the endorsement of censorship by a speech act analysis of pornography competes with its commitment to the conventionality of speech acts, and, more damningly, that (ii), recasting anti-pornography arguments in terms of linguistic conventions risks an unwitting defence of a rapist's lack of mens rea - an intolerable result; and yet resisting this conclusion requires that one back away from the original claim to women's voices being 'silenced'. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Convention for Protection of Human Rights and Dignity of the Human Being with Regard to the Application of Biology and Biomedicine: Convention on Human Rights and BiomedicineCouncil of EuropePreambleThe Member States of the Council of Europe, the other States and the European Community signatories hereto,Bearing in mind the Universal Declaration of Human Rights proclaimed by the General Assembly of the United Nations on 10 December 1948;Bearing in mind the (...) Convention for the Protection of Human Rights and Fundamental Freedoms of 4 November 1950;Bearing in mind the European Social Charter of 18 October 1961;Bearing in mind the International Covenant on Civil and Political Rights and the International Covenant on Economic, Social and Cultural Rights of 16 December 1966;Bearing in mind the Convention for the Protection of Individuals with Regard to Automatic Processing of Personal Data of 28 January 1981;Bearing also in mind the Convention on the Rights of the Child of 20 November 1989;Considering that the aim of the Council of Europe is the achievement of a greater unity between its members and that one of the methods by which that aim is to be pursued is the maintenance and further realisation of human rights and fundamental freedoms;Conscious of the accelerating developments in biology and medicine;Convinced of the need to respect the human being both as an individual and as a member of the human species and recognising the importance of ensuring the dignity of the human being; [End Page 277]Conscious that the misuse of biology and medicine may lead to acts endangering human dignity;Affirming that progress in biology and medicine should be used for the benefit of present and future generations;Stressing the need for international co-operation so that all humanity may enjoy the benefits of biology and medicine;Recognising the importance of promoting a public debate on the questions posed by the application of biology and medicine and the responses to be given thereto;Wishing to remind all members of society of their rights and responsibilities;Taking account of the work of the Parliamentary Assembly in this field, including Recommendation 1160 (1991) on the preparation of a Convention on bioethics;Resolving to take such measures as are necessary to safeguard human dignity and the fundamental rights and freedoms of the individual with regard to the application of biology and medicine;Have agreed as follows:Chapter IGeneral provisionsArticle 1. (Purpose and object)Parties to this Convention shall protect the dignity and identity of all human beings and guarantee everyone, without discrimination, respect for their integrity and other rights and fundamental freedoms with regard to the application of biology and medicine.Each Party shall take in its internal law the necessary measures to give effect to the provisions of this Convention.Article 2. (Primacy of the human being)The interests and welfare of the human being shall prevail over the sole interest of society or science.Article 3. (Equitable access to health care)Parties, taking into account health needs and available resources, shall take appropriate measures with a view to providing, within their jurisdiction, equitable access to health care of appropriate quality. [End Page 278]Article 4. (Professional standards)Any intervention in the health field, including research, must be carried out in accordance with relevant professional obligations and standards.Chapter IIConsentArticle 5. (General rule)An intervention in the health field may only be carried out after the person concerned has given free and informed consent to it.This person shall beforehand be given appropriate information as to the purpose and nature of the intervention as well as on its consequences and risks.The person concerned may freely withdraw consent at any time.Article 6. (Protection of persons not able to consent)1. Subject to Articles 17 and 20 below, an intervention may only be carried out on a person who does not have the capacity to consent, for his or her direct benefit.2. Where, according to law, a minor does not have the capacity to consent to an intervention, the intervention may only be carried out with the authorisation of his or her representative or an authority or a person or... (shrink)

Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system’s ability to care for people with chronic and degenerative conditions, including Parkinson’s Disease (PD). This paper reports the themes and lessons derived from a qualitative study with people living with PD, family caregivers, and health care providers regarding the ethical dimensions of using AI to monitor, assess, and predict PD symptoms and progression. Thematic analysis identified ethical concerns at four intersecting (...) levels: personal, interpersonal, professional/institutional, and societal levels. Reflecting on potential benefits of predictive algorithms that can continuously collect and process longitudinal data, participants expressed a desire for more timely, ongoing, and accurate information that could enhance management of day-to-day fluctuations and facilitate clinical and personal care as their disease progresses. Nonetheless, they voiced concerns about intersecting ethical questions around evolving illness identities, familial and professional care relationships, privacy, and data ownership/governance. The multi-layer analysis provides a helpful way to understand the ethics of using AI in monitoring and managing PD and other chronic/degenerative conditions. (shrink)

This is a formal and systematic study of the logical foundations of speech act theory. The study of speech acts has been a flourishing branch of the philosophy of language and linguistics over the last two decades, and John Searle has of course himself made some of the most notable contributions to that study in the sequence of books Speech Acts, Expression and Meaning and Intentionality. In collaboration with Daniel Vanderveken he now presents the first formalised logic (...) of a general theory of speech acts, dealing with such things as the nature of an illocutionary force, the logical form of its components, and the conditions of success of elementary illocutionary acts. The central chapters present a systematic exposition of the axioms and general laws of illocutionary logic. (shrink)

Speech act theorists tend to hold that the illocutionary force of an utterance is determined by one interlocutor alone: either the speaker or the hearer. Yet experience tells us that the force of our utterances is not determined unilaterally. Rather, communication often feels collaborative. In this paper, I develop and defend a collaborative theory of illocutionary force, according to which the illocutionary force of an utterance is determined by an agreement reached by (...) the speaker and the hearer. This theory, which builds upon linguistic and sociological work on adjacency pairs and conversational interaction, can accommodate the complexity of speaker intentions (which may be disjunctive, indeterminate, and/or inconsistent over time), and renders speech act theory more compatible with theories of common ground. (shrink)

The focus of this paper is on the practice of clarifying illocutionary force, the social activity of asking for and providing descriptions that make explicit what kind of act what done in speaking. Two forms of this practice are distinguished, one that takes place as part of the speech encounter that is the target of the practice, and one that takes place subsequent to that speech encounter. It is argued that the function of the practice differs (...) between these forms, and that this yields two very different ways of responding to a clarificatory query. The paper concludes by considering some implications of this difference in function for understanding of the character of illocutionary force itself, with a focus on its repercussions for understanding the possible role of the stance of participant, as opposed to theorist, in determining what was done in speaking. (shrink)

There are certain illocutionary acts that, contrary to John Searle's speech act theory, cannot be correctly classified as assertives. Searle's sincerity and essential conditions on assertives require, plausibly, that we believe our assertions and that we are committed to their truth. Yet it is a commonly accepted scientific practice to propose and investigate an hypothesis without believing it or being at all committed to its truth. Searle's attempt to accommodate such conjectural acts by claiming that the degree of (...) belief and of commitment expressed by some assertives “may approach or even reach zero“ is unsuccessful, since it evacuates his thesis that these are substantive necessary conditions on assertives of any force. The illocutionary acts in question are central to scientific activity and so cannot be plausibly ignored by a theory of speech acts. The problem is not limited simply to Searle's theory, since even theories which depart markedly from Searle's in other respects are often committed to similar characterizations of assertion. (shrink)

In articles such as “Speech Acts without Propositions?” (2006), Marina Sbisà advocates a “strong” conception of speech acts as means by which speakers modify their own and others’ deontic statuses, including their rights, obligations, and commitments. On this basis Sbisà challenges an influential approach to speech acts as typically if not universally possessing propositional contents. Sbisà argues that such an approach leads to viewing speech acts as primarily aimed at communicating propositional attitudes rather than carrying out (...) socially and normatively significant action. For this reason she advocates eschewing propositions from speech act theory’s conceptual toolkit; she also proposes a liberalization of the distinction between illocutionary force and semantic content, which are widely thought to be mutually exclusive. In this chapter we examine Sbisà’s reasoning and argue that while it does justify denying propositional attitudes a central role in communication, it does not justify dispensing with propositions or other contents in our theorizing about speech acts. In addition, we endorse Sbisà’s proposal for liberalizing the force/content distinction, and show a variety of ways in which force indicators may also possess semantic content. (shrink)

This contribution discusses the development of the Data Ethics Decision Aid (DEDA), a framework for reviewing government data projects that considers their social impact, the embedded values and the government’s responsibilities in times of data-driven public management. Drawing from distinct qualitative research approaches, the DEDA framework was developed in an iterative process (2016–2018) and has since then been applied by various Dutch municipalities, the Association of Dutch Municipalities, and the Ministry of General Affairs (NL). We present the DEDA framework (...) as an effective process to moderate case-deliberation and advance the development of responsible data practices. In addition, by thoroughly documenting the deliberation process, the DEDA framework establishes accountability. First, this paper sheds light on the necessity for data ethical case deliberation. Second, it describes the prototypes, the final design of the framework, and its evaluation. After a comparison with other frameworks, and a discussion of the findings, the paper concludes by arguing that the DEDA framework is a useful process for ethical evaluation of data projects for public management and an effective tool for creating awareness of ethical issues in data practices. (shrink)

Socially Responsible Investment (SRI) has grown considerably over the past three decades. One form of SRI, engagement-SRI, is today by far the most practiced form of SRI (in assets managed) and has the potential to mainstream SRI even further. However, lack of formalized engagement procedures and evaluation tools leave the engagement practice too opaque for such a mainstreaming. This article can be considered as a first step in the development of a standard for the engagement practice. By developing an engagement (...) heuristic, this article offers a more transparent engagement dialog. Drawing on Stevenson’s and Austin’s speech-act theories, this article develops a classification of management’s responses to the signaling of allegations and controversies on two dimensions: a factual dimension concerning (dis)agreements on factual claims and an attitudinal dimension concerning (dis)agreements on responsibilities, values, and norms. On the basis of the distinctions this article develops, the authors provide for a synoptic table and offer a next-step heuristic for the engagement process that started with signaling a concern to management. The article uses an engagement logic that, while keeping the exit option for the investor open, allows management to address signaled concerns without having to let down or to opt out at the first setback in the dialog process between investor and investee corporation. (shrink)

What makes it the case that an utterance constitutes an illocutionary act of a given kind? This is the central question of speech-act theory. Answers to it—i.e., theories of speech acts—have proliferated. Our main goal in this chapter is to clarify the logical space into which these different theories fit. -/- We begin, in Section 1, by dividing theories of speech acts into five families, each distinguished from the others by its account of the key ingredients (...) in illocutionary acts. Are speech acts fundamentally a matter of convention or intention? Or should we instead think of them in terms of the psychological states they express, in terms of the effects that it is their function to produce, or in terms of the norms that govern them? In Section 2, we take up the highly influential idea that speech acts can be understood in terms of their effects on a conversation’s context or “score”. Part of why this idea has been so useful is that it allows speech-act theorists from the five families to engage at a level of abstraction that elides their foundational disagreements. In Section 3, we investigate some of the motivations for the traditional distinction between propositional content and illocutionary force, and some of the ways in which this distinction has been undermined by recent work. In Section 4, we survey some of the ways in which speech-act theory has been applied to issues outside semantics and pragmatics, narrowly construed. (shrink)

In this paper I survey a range of trolling behaviors and analyze a particular species that stands out. After a brief discussion of some of the inherent challenges in studying internet speech, I describe a few examples of behaviors commonly described as ‘trolling’ in order to identify what they have in common. I argue that most of these behaviors already have well-researched offline counterparts. In contrast, in the second half of the paper I argue that so-called ‘subcultural trolling’ calls (...) out for further analysis: it cannot be fully explained using standard tools like insincerity or bullshit, or even using new tools like dogwhistling. Instead, I propose a new species of speech act force. I conclude by highlighting some implications for broader issues in pragmatics and ethics. (shrink)

This article offers several contributions to the interdisciplinary project of responsible research and innovation in data science and AI. First, it provides a critical analysis of current efforts to establish practical mechanisms for algorithmic auditing and assessment to identify limitations and gaps with these approaches. Second, it provides a brief introduction to the methodology of argument-based assurance and explores how it is currently being applied in the development of safety cases for autonomous and intelligent systems. Third, it generalises this method (...) to incorporate wider ethical, social, and legal considerations, in turn establishing a novel version of argument-based assurance that we call ‘ethical assurance.’ Ethical assurance is presented as a structured method for unifying the myriad practical mechanisms that have been proposed. It is built on a process-based form of project governance that enlists reflective innovation practices to operationalise normative principles, such as sustainability, accountability, transparency, fairness, and explainability. As a set of interlocutory governance mechanisms that span across the data science and AI lifecycle, ethical assurance supports inclusive and participatory ethical deliberation while also remaining grounded in social and technical realities. Finally, this article sets an agenda for ethical assurance, by detailing current challenges, open questions, and next steps, which serve as a springboard to build an active (and interdisciplinary) research programme as well as contribute to ongoing discussions in policy and governance. (shrink)

This study aims to identify artificial intelligence (AI) technologies that are applied in climate-smart agricultural practices and address ethical concerns of deploying those technologies from legal perspectives. As climate-smart agricultural AI, the study considers those AI-based technologies that are used for precision agriculture, monitoring peat lands, deforestation tracking, and improved forest management. The study utilized a systematic literature review approach to identify and analyze AI technologies employed in climate-smart agriculture and associated ethical and legal concerns. The study findings indicate several (...) ethical concerns for deploying AI in climate-smart agricultural practices pertaining to data inaccuracy, other technical errors based on wrong recommendations or wrongful acts, data ownership and intellectual property issues, and economic issues resulting in digital division and privacy and security related issues. In this study, the ethical concerns were further examined based on criminal law, tort law, privacy and data protection law, and intellectual property law. In this regard, the study finds that the current tort law pattern is more suitable than the criminal law pattern to address some major ethical concerns, such as data inaccuracy and other technical errors based on wrong recommendations or wrongful acts. Finally, the study recommends that at the global level, all countries need to fill up the current gap of international law on climate-smart agriculture through agreeing on a standard set of legal provisions and enhancing collaboration in innovation and deployment of climate-smart agricultural AI. It further recommends that at the local level, countries need to adopt suitable regulations addressing multi-stakeholders’ interests associated with the deployment of climate-smart agricultural AIs. (shrink)

This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several (...) strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as well as undergraduate university courses. (shrink)

More organizations use AI in the hiring process than ever before, yet the perceived ethicality of such processes seems to be mixed. With such variation in our views of AI in hiring, we need to understand how these perceptions impact the organizations that use it. In two studies, we investigate how ethical perceptions of using AI in hiring are related to perceptions of organizational attractiveness and innovativeness. Our findings indicate that ethical perceptions of using AI in hiring are positively related (...) to perceptions of organizational attractiveness, both directly and indirectly via perceptions of organizational innovativeness, with variations depending on the type of hiring method used. For instance, we find that individuals who consider it ethical for organizations to use AI in ways often considered to be intrusive to privacy, such as analyzing social media content for traits and characteristics, view such organizations as both more innovative and attractive. Our findings trigger a timely discussion about the critical role of ethical perceptions of AI in hiring on organizational attractiveness and innovativeness. (shrink)

Slurs are derogatory words and they are used to derogate certain groups. Theories of slurs must explain why they are derogatory words, as well as other features like independence and descriptive ineffability. This paper proposes an illocutionary force indicator theory of slurs: they are derogatory terms because their use is to perform the illocutionary act of derogation, which is a declarative illocutionary act to enforce norms against the target. For instance, calling a Chinese person “chink” is (...) an act of derogation to enforce racist norms that license exclusion of the Chinese, deny their rights to dignity, etc. The contribution of this paper is twofold. First, it offers a more comprehensive explanation of the features of slurs than earlier speech act approaches. Second, it provides a theory that is immune to the problems faced by existing theories, such as wrong predictions of truth-conditions, explaining unacceptability to non-bigots, and explaining slurs against the dominant groups. (shrink)