The tripartite account of propositional, fallibilist knowledge that p as justified true belief can become adequate only if it can solve the Gettier Problem. However, the latter can be solved only if the problem of a successful coordination of the resources (at least truth and justification) necessary and sufficient to deliver propositional, fallibilist knowledge that p can be solved. In this paper, the coordination problem is proved to be insolvable by showing that it is equivalent to the ''''coordinated attack'''' problem, (...) which is demonstrably insolvable in epistemic logic. It follows that the tripartite account is not merely inadequate as it stands, as proved by Gettier-type counterexamples, but demonstrably irreparable in principle, so that efforts to improve it can never succeed. (shrink)

Moral reasoning traditionally distinguishes two types of evil: moral and natural. The standard view is that ME is the product of human agency and so includes phenomena such as war, torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in cyberspace, (...) a new class of interesting and important examples of hybrid evil has come to light. In this paper, it is called artificial evil and a case is made for considering it to complement ME and NE to produce a more adequate taxonomy. By isolating the features that have led to the appearance of AE, cyberspace is characterised as a self-contained environment that forms the essential component in any foundation of the emerging field of Computer Ethics. It is argued that this goes some way towards providing a methodological explanation of why cyberspace is central to so many of CE’s concerns; and it is shown how notions of good and evil can be formulated in cyberspace. Of considerable interest is how the propensity for an agent’s action to be morally good or evil can be determined even in the absence of biologically sentient participants and thus allows artificial agents not only to perpetrate evil but conversely to ‘receive’ or ‘suffer from’ it. The thesis defended is that the notion of entropy structure, which encapsulates human value judgement concerning cyberspace in a formal mathematical definition, is sufficient to achieve this purpose and, moreover, that the concept of AE can be determined formally, by mathematical methods. A consequence of this approach is that the debate on whether CE should be considered unique, and hence developed as a Macroethics, may be viewed, constructively, in an alternative manner. The case is made that whilst CE issues are not uncontroversially unique, they are sufficiently novel to render inadequate the approach of standard Macroethics such as Utilitarianism and Deontologism and hence to prompt the search for a robust ethical theory that can deal with them successfully. The name Information Ethics is proposed for that theory. It is argued that the uniqueness of IE is justified by its being non-biologically biased and patient-oriented: IE is an Environmental Macroethics based on the concept of data entity rather than life. It follows that the novelty of CE issues such as AE can be appreciated properly because IE provides a new perspective. In light of the discussion provided in this paper, it is concluded that Computer Ethics is worthy of independent study because it requires its own application-specific knowledge and is capable of supporting a methodological foundation, Information Ethics. (shrink)

The renaissance of epistemology between the two world wars forms a bridge between early modern and contemporary philosophy of knowledge. This paper traces the resurgence of interest in epistemology at the turn of the century, as a reaction against the nineteenth-century development of Neo-Kantian and Neo-Hegelian idealism, through the interwar renaissance of epistemology, prompted by major advances in mathematics, logic, and physics, and its ultimate transformation from a theory of ideas and judgement into a theory of propositional attitudes, sentences, and (...) meanings. (shrink)

Purpose – To review and discuss Luciano Floridi’s 2019 book The Logic of Information: A Theory of Philosophy as Conceptual Design, the latest instalment in his philosophy of information (PI) tetralogy, particularly with respect to its implications for library and information studies (LIS). Design/methodology/approach – Nine scholars with research interests in philosophy and LIS read and responded to the book, raising critical and heuristic questions in the spirit of scholarly dialogue. Floridi responded to these questions. Findings – (...) class='Hi'>Floridi’s PI, including this latest publication, is of interest to LIS scholars, and much insight can be gained by exploring this connection. It seems also that LIS has the potential to contribute to PI’s further development in some respects. Research implications – Floridi’s PI work is technical philosophy for which many LIS scholars do not have the training or patience to engage with, yet doing so is rewarding. This suggests a role for translational work between philosophy and LIS. Originality/value – The book symposium format, not yet seen in LIS, provides forum for sustained, multifaceted and generative dialogue around ideas. (shrink)

Recreational Drugs European Network (ReDNet) project aims to use the Psychonaut Web Mapping Project database (Psychonaut Web Mapping Group, 2009) containing novel psychoactive compounds usually not mentioned in the scientific literature and thus unknown to clinicians as a unique source of information. The database will be used to develop an integrated ICT prevention approach targeted at vulnerable individuals and focused on novel synthetic and herbal compounds and combinations. Particular care will be taken in keeping the health professionals working directly with (...) young people showing problematic behaviors regularly updated in terms of novel compounds and combinations as well. A user-friendly project website will be developed aimed primarily at delivering the information/prevention approaches, but will also be a way of communicating with project partners and relevant stakeholders (e.g. thematic forum facilities, instant messages, blogs, video chat, wikiblog, newsletters distributed via mailing list). The website will support various ICT prevention tools, including an SMS alert service. Different areas and sections will be aimed specifically at the different target groups. -/- . (shrink)

Chi siamo e che tipo di relazioni stabiliamo gli uni con gli altri? Luciano Floridi sostiene che gli sviluppi nel campo delle tecnologie dell’informazione e della comunicazione stiano modificando le risposte a domande così fondamentali. I confini tra la vita online e quella offline tendono a sparire e siamo ormai connessi gli uni con gli altri senza soluzione di continuità, diventando progressivamente parte integrante di un’“infosfera” globale. Questo passaggio epocale rappresenta niente meno che una quarta rivoluzione, dopo quelle di (...) Copernico, Darwin e Freud. L’espressione “onlife” definisce sempre di più le nostre attività quotidiane: come facciamo acquisti, lavoriamo, ci divertiamo, coltiviamo le nostre relazioni. In ogni campo della vita, le tecnologie della comunicazione sono diventate forze che strutturano l’ambiente in cui viviamo, creando e trasformando la realtà. Saremo in grado di raccoglierne i frutti? Quali, invece, i rischi impliciti? Floridi suggerisce che dovremmo sviluppare un approccio in grado di rendere conto sia delle realtà naturali sia di quelle artificiali, in modo da affrontare con successo le sfide poste dalle tecnologie correnti e dalle attuali società dell’informazione. (shrink)

A short article criticising two churches: those who believe in the Singularity (AIzilla) and those who believe that computers "cannot do x" (AItheist).

Pensare l’infosfera: La filosofia come design concettuale di Luciano Floridi è la traduzione, rivista e parziale, di un libro pubblicato in inglese sulla logica dell’informazione (The Logic of Information, Oxford University Press, Oxford 2019). All’interno della riflessione sul digitale che il filosofo italiano sta conducendo ormai da qualche decennio, questo saggio si colloca come terza parte di una tetralogia legata alla filosofia dell’informazione. I primi due volumi, The Philosophy of Information e The Ethics of Information, sono già stati pubblicati (...) rispettivamente nel 2011 e nel 2013 mentre l’ultimo, riguardante la politica dell’informazione, è in corso di stesura. Come esplicitato dallo stesso Floridi nell’introduzione, l’oggetto di indagine del testo è la filosofia stessa, precisamente rispetto al suo metodo e alla sua natura. Ciò che a essa manca è proprio uno spazio fuori di sé in cui si possa avere un dibattito su cosa sia la buona filosofia. Floridi prova a crearlo definendo la filosofia come «passione per il sapere e il capire». Questo significa che per fare buona filosofia non basta porre domande o cercare risposte ma bisogna «avere coraggio nel porre le domande giuste al momento giusto e offrire le risposte corrette, anche se spiacevoli e impopolari». La situazione in cui la riflessione è situata si potrebbe sintetizzare così: «La filosofia oggi è un po’ come un computer che ha perso memoria a causa dei bachi del sistema. Bisogna riavviarla». La base da cui far ripartire la filosofia, per Floridi, si fonda su quella che lui stesso chiama «la quarta rivoluzione», ovvero quella delle tecnologie digitali che sempre più «influenzano il modo in cui concepiamo il mondo e ci rapportiamo a esso, così come il modo in cui concepiamo noi stessi e interagiamo tra noi». (shrink)

Quand on se penche sur l’héritage philosophique de Turing, deux risques se posent. Le premier, c’est de le réduire à son test célèbre (Turing 1950). Ce qui a toutefois le mérite de la clarté. N’importe qui peut reconnaître la contribution en question et la situer dans le débat important sur la philosophie de l’intelligence artificielle. Le second risque est de le diluer dans un récit universel, faisant des idées deTuring les graines de tout ce que nous faisons et savons aujourd’hui. (...) Ceci a l’avantage de reconnaître la grandeur de ce génie. Cependant, dans un cas comme dans l’autre, nous allons probablement moins identifier les contributions conceptuelles deTuring qui nous ont aidés à forger un discours philosophique contemporain et qui méritent d’être approfondies et développées. Pour éviter ces deux risques, je me concentrerai dans les pages suivantes sur trois leçons philosophiques spécifiques, qui me semblent particulièrement significatives pour l’émergence de la philosophie de l’information et ses développements. Je ne propose pas ici une analyse philologique ni savante,mais un exercice minimaliste, herméneutique. Façon de faire écho àla démarche deTuring et de rendre hommage àson génie extraordinaire :ses interprètes n’ont pas fini de tirer parti de son héritage intellectuel. Je souhaite qu’un jourTuring devienne aussi important que Frege dans notre canon philosophique. (shrink)

Artificial agents, particularly but not only those in the infosphere Floridi (Information – A very short introduction. Oxford University Press, Oxford, 2010a), extend the class of entities that can be involved in moral situations, for they can be correctly interpreted as entities that can perform actions with good or evil impact (moral agents). In this chapter, I clarify the concepts of agent and of artificial agent and then distinguish between issues concerning their moral behaviour vs. issues concerning their responsibility. (...) The conclusion is that there is substantial and important scope, particularly in information ethics, for the concept of moral artificial agents not necessarily exhibiting free will, mental states or responsibility. This complements the more traditional approach, which considers whether artificial agents may have mental states, feelings, emotions and so forth. By focussing directly on “mind-less morality”, one is able to by-pass such question as well as other difficulties arising in Artificial Intelligence, in order to tackle some vital issues in contexts where artificial agents are increasingly part of the everyday environment (Floridi L, Metaphilos 39(4/5): 651–655, 2008a). (shrink)

This article is a review of R.L Park's Voodoo Science: The Road from Foolishness to Fraud.

Le première partie porte sur la structure physique d'Internet et sa nature numérique, et une brève histoire du réseau. La seconde partie est centrée sur Internet en tant que véhicule de l'information considérée comme un bien marchand.

Uno dei principali problemi nello studio della mente e della sua "collocazione" consiste nell'identificazione del corretto Livello di Astrazione a cui le varie descrizioni fenomeniche e le corrispondenti ipotesi esplicative possono essere sviluppate e confrontate. L'articolo contribuisce all'attuale dibattito metodologico in filosofia della mente analizzando due nozioni fondative, quella di modello e quella di simulazione, sulla base del concetto di Livello di Astrazione. L'ambito è quello del Metodo delle Astrazioni, proposto in Floridi e Sanders [2003]. Il Metodo delle Astrazioni (...) si basa su una particolare branca dell'informatica teorica, quella dei Metodi Formali (Roever e Engelhardt [1998]; Woodcock e Davies [1996]), dove la matematica discreta è utilizzata per descrivere analiticamente le specifiche del comportamento di sistemi che elaborano informazioni. I sistemi sono descritti in termini di osservabili e regole di transizione, cioè come sistemi di transizione. Le descrizioni comportano l'utilizzo di variabili che rappresentano osservabili nella realtà, astraendo da altri eventuali osservabili. L'idea di fondo del Metodo delle Astrazioni è che tale processo di filtraggio sia ineliminabile in qualsiasi accesso alla realtà. Il tentativo di sondare un sistema in maggiore profondità produce una maggiore astrazione delle teorie e degli oggetti teorici che descrivono tale sistema. Il Metodo delle Astrazioni si presenta quindi come uno strumento per organizzare e chiarificare le varie teorie che intendono fornire una spiegazione della realtà o della conoscenza. La principale tesi dell'articolo è che "modello" e "simulazione" non possano essere pensati come nozioni a sé stanti, ma che la loro natura possa essere chiarita nei termini di tipi di relazioni tra sistemi di transizione. Nello specifico, si argomenta che la relazione di simulazione è una relazione tra gli osservabili di sistemi di transizione, mentre il modello è una relazione tra le regole di transizione di questi sistemi. Dati questi due nuovi tipi di relazioni, è possibile arricchire con ulteriori strutture di analisi il Metodo delle Astrazioni, estendendo la sua applicabilità. Queste strutture sono discusse nell'articolo come "Reti di Astrazione". (shrink)

The theories of information ethics articulated by Luciano Floridi and his collaborators have clear implications for law. Information law, including the law of privacy and of intellectual property, is especially likely to benefit from a coherent and comprehensive theory of information ethics. This article illustrates how information ethics might apply to legal doctrine, by examining legal questions related to the ownership and control of the personal data representations, including photographs, game avatars, and consumer profiles, that have become ubiquitous with (...) the proliferation of information and communication technologies. Recent controversy over the control of player performance statistics in “fantasy” sports leagues provides a limiting case for the analysis. Such data representations will in many instances constitute the kind of personal data that information ethics asserts constitutes an information entity. Legal doctrine in some instances proves sympathetic to such an assertion, but remains largely inchoate as to which data might constitute a given information entity in a given instance. Neither is information ethics, in its current state of development, entirely helpful in answering this critical question. While information ethics holds some promise to bring coherence to this area of the law, further work articulating a richer theory of information ethics will be necessary before it can do so. (shrink)

The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the (...) current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies. (shrink)

Semantic information is usually supposed to satisfy the veridicality thesis: p qualifies as semantic information only if p is true. However, what it means for semantic information to be true is often left implicit, with correspondentist interpretations representing the most popular, default option. The article develops an alternative approach, namely a correctness theory of truth (CTT) for semantic information. This is meant as a contribution not only to the philosophy of information but also to the philosophical debate on the nature (...) of truth. After the introduction, in Sect. 2, semantic information is shown to be translatable into propositional semantic information (i). In Sect. 3, i is polarised into a query (Q) and a result (R), qualified by a specific context, a level of abstraction and a purpose. This polarization is normalised in Sect. 4, where [Q + R] is transformed into a Boolean question and its relative yes/no answer [Q + A]. This completes the reduction of the truth of i to the correctness of A. In Sects. 5 and 6, it is argued that (1) A is the correct answer to Q if and only if (2) A correctly saturates Q by verifying and validating it (in the computer science’s sense of “verification” and “validation”); that (2) is the case if and only if (3) [Q + A] generates an adequate model (m) of the relevant system (s) identified by Q; that (3) is the case if and only if (4) m is a proxy of s (in the computer science’s sense of “proxy”) and (5) proximal access to m commutes with the distal access to s (in the category theory’s sense of “commutation”); and that (5) is the case if and only if (6) reading/writing (accessing, in the computer science’s technical sense of the term) m enables one to read/write (access) s. Sect. 7 provides some further clarifications about CTT, in the light of semantic paradoxes. Section 8 draws a general conclusion about the nature of CTT as a theory for systems designers not just systems users. In the course of the article all technical expressions from computer science are explained. (shrink)

In Pensare l’infosfera La filosofia come design concettuale, Luciano Floridi states the value of a correct analysis and philosophical responses within the information age we are living in. The aim of this paper is to suggest several ideas for reflecting on some of Floridi’s topics such as the analysis of presence, relationship and semantization. In the second paragraph, after a brief introduction about the author, I will analyse philosophical insights on the relationship between being and determination. In the (...) third paragraph, I am going to suggest the importance of a correct analysis of presence. In the fourth paragraph, a possible analogy between the philosophy of information and a certain form of neo-idealism will be shown. At last, I try to show how the philosophy of information can play a key role in the way we think about reality, but also its possible conceptual risks. (shrink)

This work fulfills the need for a conceptual and technical framework to improve understanding of Information Quality (IQ) and Information Quality standards. The meaning and practical implementation of IQ are addressed, as it is relevant to any field where there is a need to handle data and issues such as accessibility, accuracy, completeness, currency, integrity, reliability, timeliness, usability, the role of metrics and so forth are all a part of Information Quality. -/- In order to support the cross-fertilization of theory (...) and practice, the latest research is presented in this book. The perspectives of experts from beyond the origins of IQ in computer science are included: library and information science practitioners and academics, philosophers of information, of engineering and technology, and of science are all contributors to this volume. -/- The chapters in this volume are based on the work of a collaborative research project involving the Arts and Humanities Research Council and Google and led by Professor Luciano Floridi, University of Oxford. -/- This work will be of interest to anyone handling data, including those from commercial, public, governmental and academic organizations. The expert editors’ contributions introduce issues of interest to scientists, database curators and philosophers, even though the issues may be disguised in the language and examples common to a different discipline. (shrink)

This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. 'Biomedical Big Data' refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address (...) these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward. (shrink)

The philosophy of information (PI) is a new area of research with its own field of investigation and methodology. This article, based on the Herbert A. Simon Lecture of Computing and Philosophy I gave at Carnegie Mellon University in 2001, analyses the eighteen principal open problems in PI. Section 1 introduces the analysis by outlining Herbert Simon's approach to PI. Section 2 discusses some methodological considerations about what counts as a good philosophical problem. The discussion centers on Hilbert's famous analysis (...) of the central problems in mathematics. The rest of the article is devoted to the eighteen problems. These are organized into five sections: problems in the analysis of the concept of information, in semantics, in the study of intelligence, in the relation between information and nature, and in the investigation of values. (shrink)

In the past months, there has been a lively debate about so-called COVID-19 apps developed to deal with the pandemic (Morley et al. 2020b). Some of the best solutions use the Bluetooth connection of mobile phones to determine contacts between people and therefore the probability of contagion, and then suggested related measures. In theory, it may seem simple. In practice, there are several ethical problems (Morley et al. 2020a), not only legal and technical ones. To understand them, it is useful (...) to distinguish between the validation and the verification of a system, remembering that these words are used here only in the design/engineering sense, and certainly not philosophically. The validation of a system answers the following question:“are we building the right system?”. (shrink)

This chapter contains sections titled: Comments and Replies Conclusion Acknowledgments References.

Artefacts do not always do what they are supposed to, due to a variety of reasons, including manufacturing problems, poor maintenance, and normal wear-and-tear. Since software is an artefact, it should be subject to malfunctioning in the same sense in which other artefacts can malfunction. Yet, whether software is on a par with other artefacts when it comes to malfunctioning crucially depends on the abstraction used in the analysis. We distinguish between “negative” and “positive” notions of malfunction. A negative malfunction, (...) or dysfunction, occurs when an artefact token either does not or cannot do what it is supposed to. A positive malfunction, or misfunction, occurs when an artefact token may do what is supposed to but, at least occasionally, it also yields some unintended and undesirable effects. We argue that software, understood as type, may misfunction in some limited sense, but cannot dysfunction. Accordingly, one should distinguish software from other technical artefacts, in view of their design that makes dysfunction impossible for the former, while possible for the latter. (shrink)

Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, process, (...) and implications). We analyse this architecture through four accountability goals (compliance, report, oversight, and enforcement). We argue that these goals are often complementary and that policy-makers emphasise or prioritise some over others depending on the proactive or reactive use of accountability and the missions of AI governance. (shrink)

This article argues that an ethical framework will help to harness the potential of AI while keeping humans in control.

In recent years, policymakers, academics, and practitioners have increasingly called for the development of global governance mechanisms for artificial intelligence (AI). This paper considers the prospects for these calls in light of two other geopolitical trends: digital sovereignty and digital expansionism. While calls for global AI governance promote the surrender of some state sovereignty over AI, digital sovereignty and expansionism seek to secure greater state control over digital technologies. To demystify the tensions between these trends and their potential consequences, we (...) undertake a case analysis of digital sovereignty and digital expansionism in China, the European Union, and the United States. We argue that the extraterritoriality embedded in these three actors’ policies and escalatory competitive narratives, particularly those from the US, will likely undermine substantive global AI governance cooperation. However, nascent areas of alignment or compromise, notably in data governance and technical standards, could prove fruitful starting points for building trust in multilateral fora, such as the G20 or United Nations. (shrink)

Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that the GDPR will legally mandate a ‘right to explanation’ of all decisions made by automated or artificially intelligent algorithmic systems. This right to explanation is viewed as an ideal mechanism to enhance the accountability and transparency of automated decision-making. However, there are several reasons to doubt both the legal existence and the feasibility of such a right. In contrast to the (...) right to explanation of specific automated decisions claimed elsewhere, the GDPR only mandates that data subjects receive meaningful, but properly limited, information (Articles 13-15) about the logic involved, as well as the significance and the envisaged consequences of automated decision-making systems, what we term a ‘right to be informed’. Further, the ambiguity and limited scope of the ‘right not to be subject to automated decision-making’ contained in Article 22 (from which the alleged ‘right to explanation’ stems) raises questions over the protection actually afforded to data subjects. These problems show that the GDPR lacks precise language as well as explicit and well-defined rights and safeguards against automated decision-making, and therefore runs the risk of being toothless. We propose a number of legislative and policy steps that, if taken, may improve the transparency and accountability of automated decision-making when the GDPR comes into force in 2018. (shrink)

To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.

Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from US$1 billion in 2016 to a US$34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global scale. (...) However, trust in AI (both machine learning and neural networks) to deliver cybersecurity tasks is a double edged sword: it can improve substantially cybersecurity practices, but can also facilitate new forms of attacks to the AI applications themselves, which may pose severe security threats. We argue that trust in AI for cybersecurity is unwarranted and that, to reduce security risks, some form of control to ensure the deployment of ‘reliable AI’ for cybersecurity is necessary. To this end, we offer three recommendations focusing on the design, development and deployment of AI for cybersecurity. (shrink)

The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the (...) current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies. (shrink)

There is growing concern that decision-making informed by machine learning (ML) algorithms may unfairly discriminate based on personal demographic attributes, such as race and gender. Scholars have responded by introducing numerous mathematical definitions of fairness to test the algorithm, many of which are in conflict with one another. However, these reductionist representations of fairness often bear little resemblance to real-life fairness considerations, which in practice are highly contextual. Moreover, fairness metrics tend to be implemented in narrow and targeted toolkits that (...) are difficult to integrate into an algorithm’s broader ethical assessment. In this paper, we derive lessons from ethical philosophy and welfare economics as they relate to the contextual factors relevant for fairness. In particular we highlight the debate around acceptability of particular inequalities and the inextricable links between fairness, welfare and autonomy. We propose Key Ethics Indicators (KEIs) as a way towards providing a more holistic understanding of whether or not an algorithm is aligned to the decision-maker’s ethical values. (shrink)

The paper investigates the ethics of information transparency (henceforth transparency). It argues that transparency is not an ethical principle in itself but a pro-ethical condition for enabling or impairing other ethical practices or principles. A new definition of transparency is offered in order to take into account the dynamics of information production and the differences between data and information. It is then argued that the proposed definition provides a better understanding of what sort of information should be disclosed and what (...) sort of information should be used in order to implement and make effective the ethical practices and principles to which an organisation is committed. The concepts of “heterogeneous organisation” and “autonomous computational artefact” are further defined in order to clarify the ethical implications of the technology used in implementing information transparency. It is argued that explicit ethical designs, which describe how ethical principles are embedded into the practice of software design, would represent valuable information that could be disclosed by organisations in order to support their ethical standing. (shrink)