In ‘Computing Machinery and Intelligence’, Turing, sceptical of the question ‘Can machines think?’, quickly replaces it with an experimentally verifiable test: the imitation game. I suggest that for such a move to be successful the test needs to be relevant, expansive, solvable by exemplars, unpredictable, and lead to actionable research. The Imitation Game is only partially successful in this regard and its reliance on language, whilst insightful for partially solving the problem, has put AI progress on the wrong foot, (...) prescribing a top-down approach for building thinking machines. I argue that to fix shortcomings with modern AI systems a nonverbal operationalisation is required. This is provided by the recent Animal-AI Testbed, which translates animal cognition tests for AI and provides a bottom-up research pathway for building thinking machines that create predictive models of their environment from sensory input. (shrink)

With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management in large and distributed organizations. Ontologies are formal theories supporting knowledge sharing and reuse. They can be used to explicitly represent semantics of semi-structured information. These enable sophisticated automatic support for acquiring, maintaining and accessing information. Methodology and tools are developed for (...) intelligent access to large volumes of semi-structured and textual information sources in intra- and extra-, and internet-based environments to employ the full power of ontologies in supporting knowledge management from the information client perspective and the information provider. The aim of the book is to support efficient and effective knowledge management and focuses on weakly-structured online information sources. It is aimed primarily at researchers in the area of knowledge management and information retrieval and will also be a useful reference for students in computer science at the postgraduate level and for business managers who are aiming to increase the corporations' information infrastructure. The Semantic Web is a very important initiative affecting the future of the WWW that is currently generating huge interest. The book covers several highly significant contributions to the semantic web research effort, including a new language for defining ontologies, several novel software tools and a coherent methodology for the application of the tools for business advantage. It also provides 3 case studies which give examples of the real benefits to be derived from the adoption of semantic-web based ontologies in "real world" situations. As such, the book is an excellent mixture of theory, tools and applications in an important area of WWW research. * Provides guidelines for introducing knowledge management concepts and tools into enterprises, to help knowledge providers present their knowledge efficiently and effectively. * Introduces an intelligent search tool that supports users in accessing information and a tool environment for maintenance, conversion and acquisition of information sources. * Discusses three large case studies which will help to develop the technology according to the actual needs of large and or virtual organisations and will provide a testbed for evaluating tools and methods. The book is aimed at people with at least a good understanding of existing WWW technology and some level of technical understanding of the underpinning technologies (XML/RDF). It will be of interest to graduate students, academic and industrial researchers in the field, and the many industrial personnel who are tracking WWW technology developments in order to understand the business implications. It could also be used to support undergraduate courses in the area but is not itself an introductory text. (shrink)

continent. 1.1 (2011): 22-25. The Author gratefully acknowledges the financial support of CAPES (Coordenação de Aperfeiçoamento do Ensino Superior), Brazil. From the multifarious subdivisions of semiotics, be they naturalistic or culturalistic, the realm of semiotics of value is a ?eld that is getting more and more attention these days. Our entire political and economic systems are based upon structures of symbolic representation that many times seem not only to embody monetary value but also to determine it. The connection between monetary (...) and linguistic exchanges is self-evident: the former requires the latter and develops in direct relation to it. Creative experimentation and design of digital systems of value exchange are blossoming on the web. Dr. Gilson Schwartz, an economist turned media theorist and professor at the University of São Paulo, adopted the concept of Iconomics, originally created by Michael Kaplan, an author concerned with the linguistics of economic value. Empowering local communities and unlocking new levels of value creation and representation via digital technologies are the main goals of Dr. Schwartz’s projects, aiming at the re-designing of our relationship to the economic value of imagination and the social control of property. Schwartz is Assistant Professor at the School of Communication and Arts of the University of São Paulo, a former Chief Economist at BankBoston, Brazil and Advisor to the President of the National Social and Economic Development Bank (BNDES). FURTHER READING: Kaplan, Michael. “Iconomics: The Rhetoric of Speculation.” Public Culture . 15.3 (2003): 477-493. Renata Lemos-Morais: You have recently produced and directed a short documentary about Creative Currencies in Latin America. Could you tell us a bit about its process and its findings? Gilson Schwartz: The “Creative Currencies” project is a work-in-progress platform which unfolds as an action research agenda connected both to the production of audiovisual content and the development of social currency software. The initiative dates back to 2003 when I led an experimental project supported by the Presidency of Brazil. At that time, we issued paper currency in a small, touristic village in the Northeast Region which stimulated local cultural projects. But it was only in 2009 that the Central Bank of Brazil acknowledged “social currencies” as a legitimate economic agenda, calling for more debate at the I Financial Inclusion Forum. This year, the monetary authorities organized a second forum that also opened the room to discussions on mobile payment systems and new perspectives on poverty alleviation via State subsidies. The Ministry of Culture funded the “Creative Currencies” project in 2009-2010 and our next stage in this discovery process is to be supported by the National Social and Economic Development Bank (BNDES). In short, there is genuine interest among public officials in different areas and public funding for social currencies is on the rise in Brazil. However, after all these years we are still at a very early stage of research and practice. Some of the most successful initiatives (such as Banco Palmas) actually evolved out of local monetary creation to become correspondent banking operations for commercial banks and other financial groups. After eight years of price stability and social inclusion, Brazil stands out as a major opportunity for social experimentation, even the Grameen Bank is now entering the Brazilian market and many NGOs are geared towards different forms of entrepreneurialism in the base of the pyramid, riding solidarity economic models, microfinance and microcredit for local development. It is yet to be seen, however, whether these developments are just one more stage of “bankarization”, that is to say, an extension of regular banking services or actually a new form of social and symbolic self-determination at the local level. So far, the Central Bank of Brazil is open to new forms of credit and local finance as long as they are strictly territorial and very close to barter among the poor. In other words, whether the process of monetary creation could be made to fit an open source paradigm is yet to be seen. Community banking and social currencies might as well end up as just another channel for access to and use of banking services. The “Creative Currencies” project aims at promoting the discussion of more fundamental issues, such as the limits of central banking, the prospects for local financial development and the possibility of creating and managing financial icons as cultural assets. The purpose of this project is to produce short documentaries that will bear testimony to this evolving regulatory framework while inducing more discussion about the fundamental iconomic issues concealed in the process of money and wealth creation. RLM: What new potential is there in applying digital technologies to currency creation? GS: Globalization is a result of the virtualization of money, that is, the overcoming of illusions such as the “gold standard”. Money is an icon created by institutions, not on supposedly natural or material foundations but out of political and financial interests. The “dollar standard” is an outstanding evidence of this phenomenon and Kaplan´s paper, the first to use the expression “iconomics”, insists on the rhetoric and semiotic effects associated to a supposedly scientific model of money creation and management. This is a fundamental change that was perceived and discussed much before the digitalization of the world by unorthodox economists such as John Maynard Keynes since the early 20th century. The digitalization of global financial flows accelerated this immateriality and the creation of the Euro was yet another evidence of the political foundations of currencies. The banking establishment, however, is keen on the idea that scientific formulae hold the key to sound money creation. Keynesianism has been repeatedly associated to “inflationism” while the supposedly sound monetary policies of the Orthodoxy serve well the political and financial interests of a technocratic elite. Corporate media also serve this fictitious depiction of the monetary process despite the cyclical bust of monetary rules and financial regulations. The internet, however, has created numerous opportunities for the disintermediation in industries such as film, music and commodities. There is no reason to doubt that the financial industry can also be transformed by Peer-to-Peer (P2P) infrastructures. Money is media as well. Credit is but confidence. Once people realize that the distributed computing power of networks can also be the platform to weave new monetary and credit operations, there is room for grassroots emancipation out of the established owners of monetary institutions. So far, however, there has been a privatization of monetary management and there is not a clear path or model for the emergent (P2P) property democratization that is inherent to the internet. Digital assets, however, clearly have an inherent potential to escape central control and proprietary regulatory frameworks. RLM: How are social networks transforming the ways in which we exchange value? Do you believe that online influence and reputation might be translated into a new kind of currency? GS: The foundation for social currencies as envisaged by solidarity economics is the territory. Authorities are willing to concede local monetary creation as long as it is restricted to poor neighborhoods, as a proxy to barter. In this relevant but limited context, reputation, personal knowledge and informal ties form the matrix of local or “proximity” finance which are expected to keep credit and leverage to a sustainable level. Anything beyond that should and would lead to an integration of local finance into the established banking system. However, inasmuch as the internet promotes virtual territories and reputation is now subject to all sorts of digital manipulation and stardom becomes an everyday cultural process among teenagers and elders alike, the territorial “foundation” is substituted for more complex patterns of solidarity, cooperation and exchange that reach beyond the physical territory and even the “human.” Digital assets embody knowledge, technology, cultural and educational values that are exchanged at a global scale beyond the control of democratic States (Chinese-like intervention is the exception, not the rule). Hacktivism is unstoppable and so is monetary hacktivism. Especially in the Third World, mobile communications fast became conveyors of money transfers and other appropriation strategies. Banking and telecom sectors already battle for the control of these emerging markets and, as a matter of fact, have so far contributed to the containment of these processes. Governments serve these moguls and have usually adopted a wait-and-see attitude. If open source hardware and grassroots social movements combine to challenge these proprietary battles, then social networks may evolve into new forms of social capital and thus form the ground on which to design and implement social currencies. The global financial crisis, as well as the dollar demise, are an event of such a proportion that social networks may open the path for emancipator subjects to seize the opportunity. RLM: What are some of the social experiments that you think are revolutionizing the way in which value is exchanged? GS: There is a broad evolution of economic systems towards the valuation of intangible assets such as knowledge, reputation and sustainability. There are many examples of local as well as global events that call the traditional systems of exchange into question, from carbon credits to educational bonuses, digital barter frameworks and locally based solidarity and fair trade networks. These emerging examples, no matter how different in nature or scale, represent a challenge to the traditional value creation schemes and theories which are based on use and exchange value, supply and demand. This is not to say that utility and labour or scarcity are to be totally dismissed, but there is now an emerging perception that value is also a function of behavioral codes, symbolic patterns and the energy of institutional frameworks. The plasticity of digital platforms is relevant insofar as intellectual property becomes the central source of value creation. But when you discuss the property rights of public goods such as the environment or basic social rights (of minorities or localities), then a new paradigm seems to emerge. RLM: Are gaming and online storytelling digital practices that might have an impact on the way new currencies are created and developed? GS: “Play money” has been one of the early and most intriguing phenomena associated to the diffusion of virtual worlds. These virtual currencies have also been prone to “boom and bust” dynamics, speculation and pure theft (Second Life scams were common and led to “intervention” by the owners of the game). Storytelling is a major source of value, that is, the value of attention and the markets for audience. There are plenty of private monies created and managed by corporate entertainment groups, telecom operators (via mobile virtual network operators) and marketing frameworks. The casino economy, as already depicted by Keynes and other unorthodox economists, is always storytelling about future states of the world, confidence building and leverage of animal spirits. The novelty of current events is not the fictitious nature of any form of capital, but the potential for digital democratization of controls over the imaginary nature of value creation. But this is just a potential, a possibility, a figment that more often than not is appropriated by centralized and opaque private powers. The game industry is a testbed for new connections between storytelling and money creation. RLM: Monetary value was originally connected to the scarcity of precious metals, such as gold. Our entire monetary system seems therefore to function according to a logic of scarcity. Do you believe it is possible to reverse this logic into a logic of abundance? GS: The gold standard was a fiction itself, the “scarcity” is always produced by institutions that regulate confidence and access to credit. The key issue is not to fabricate abundance, but to question the institutions which produce scarcity out of any standard, gold or whatever. Central banks are at the service of private banks in the creation and management of scarcity. RLM: The promise that nanotechnology holds for our future is one of radical abundance (or so say transhumanists). The possibility of creating any kind of material substance through nanoengineering seems each day more feasible. What would this possibility entail in terms of systems of value exchange? GS: Nanotechnology, environmental concerns and grassroots appropriation of distributed knowledge are the frontiers of a new horizon of energy creation and management. Social groups in charge of managing scarcity for the sake of wealth and power concentration must be held accountable for the destruction of our future. Once this key political conundrum is accounted for, new systems of value exchange and even a non-mercantile society will come into existence. Revolutionary theorists such as Marx envisaged transformation via the extreme clash of contradictions between capital and labour. This approach has never led to a change in the systemic logic of scarcity for the sake of social control. We are once again facing the threshold of large scale societal change, but the outcome of the current crisis should come from our imagination, not from yet another paradox of abundance and scarcity. As long as we remain attached to the materiality of value, the illusion of freedom will but reinforce the massive manipulation of necessity. RLM: What do you think is the role of crowdfunding in this context? GS: Crowdsourcing as well as crowdfunding are examples of the peer to peer opportunities that come along with distributed computer power. However, the power structure behind wealth and scarcity creation may or may not be changed by crowd management. But it should not be taken at face value, so to speak. The stock market of course is an early form of crowdfunding without calling into question the proprietary framework of the companies offering their investment projects to the market. Any market is a form of crowdsourcing, that is to say, of distributed forms of supply and demand matchmaking. The wealth of networks, however, depends on the contractual ecosystem, the institutional framework, the channeling of social imagination, not on the purely quantitative distribution of bids and offers. I see economics as supply, demand and code. Once you have access to the code, once openness becomes part of the game, then there is a chance of crowd behavior becoming collective intelligence and sustainable imagination. RLM: Is the development of digital currencies headed towards a pluralistic ecology in which many micro currency systems co-exist, or is it penetrating the mainstream monetary system? If it is affecting the mainstream financial system, what would be its effect in the long-term? GS: The same issue is at stake both at local and global levels. The global system is, as a matter of fact, an unstable ecosystem of “micro currencies” whereas the dollar has so far exerted an overwhelming influence. Local currencies and private monies coexist with national currencies only to the extent that the Central Bank admits, for instance, that grassroots monetary emissions remain territorial and strictly connected to poverty. However, the question of how new developments in digital technologies and nanotechnologies might alter not only our current monetary systems but also our understanding of value in itself, is still an open question. (shrink)

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and (...) used by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

Abstract: In this article I argue that the best way to understand the information turn is in terms of a fourth revolution in the long process of reassessing humanity's fundamental nature and role in the universe. We are not immobile, at the centre of the universe (Copernicus); we are not unnaturally distinct and different from the rest of the animal world (Darwin); and we are far from being entirely transparent to ourselves (Freud). We are now slowly accepting the idea that (...) we might be informational organisms among many agents (Turing), inforgs not so dramatically different from clever, engineered artefacts, but sharing with them a global environment that is ultimately made of information, the infosphere. (shrink)

This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used (...) to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination. (shrink)

‘There is no place in the phenomenology of fully absorbed coping’, writes Hubert Dreyfus, ‘for mindfulness. In flow, as Sartre sees, there are only attractive and repulsive forces drawing appropriate activity out of an active body’1. Among the many ways in which history animates dynamical systems at a range of distinctive timescales, the phenomena of embodied human habit, skilful movement, and absorbed coping are among the most pervasive and mundane, and the most philosophically puzzling. In this essay we examine both (...) habitual and skilled movement, sketching the outlines of a multidimensional framework within which the many differences across distinctive cases and domains might be fruitfully understood. Both the range of movement phenomena which can plausibly be seen as instances of habit or skill, and the space of possible theories of such phenomena are richer and more disparate than philosophy easily encompasses. We seek to bring phenomenology into contact with relevant movements in psychological theories of skilful action, in the belief that phenomenological philosophy and cognitive science can be allies rather than antagonists. (shrink)

The question of whether fluid intelligence can be differentiated from general intelligence in older adults is addressed. Data indicate that the developmental pattern of performance on fluid tasks differs from the pattern of general intelligence. These results suggest that it is important to identify changes in fluid cognitive functions associated with frontal lobe decline, as they may be early indicators of cognitive decline. (Published Online April 5 2006).

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)

In this series of lectures, a distinguished group of international contributors from a variety of disciplines debate the current position of the recent achievements in engineering and computer science. (Technology & Industrial).

Linguistics. Artificial intelligence. Related fields. Computation.

Who is responsible for the events and consequences caused by using artificially intelligent tools, and is there a gap between what human agents can be responsible for and what is being done using artificial intelligence? Both questions presuppose that the term ‘responsibility’ is a good tool for analysing the moral issues surrounding artificial intelligence. This article will draw this presupposition into doubt and show how reference to responsibility obscures the complexity of moral situations and moral agency, which can (...) be analysed with a more differentiated toolset of moral terminology. It suggests that the impression of responsibility gaps only occurs if we gloss over the complexity of the moral situation in which artificial intelligent tools are employed and if—counterfactually—we ascribe them some kind of pseudo-agential status. (shrink)

Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised (...) learning methods—namely lasso penalties, bagging, and boosting—offer subtler, more interesting analogies to human reasoning as both an individual and a social phenomenon. Despite the temptation to fall back on anthropomorphic tropes when discussing AI, however, I conclude that such rhetoric is at best misleading and at worst downright dangerous. The impulse to humanize algorithms is an obstacle to properly conceptualizing the ethical challenges posed by emerging technologies. (shrink)

Emotional intelligence can be defined as the ability to identify, express, understand, manage, and use emotions. EI has been shown to have an important impact on health, relationships, and wor...

Trait emotional intelligence concerns our perceptions of our emotional abilities, that is, how good we believe we are in terms of understanding, regulating, and expressing emotions in order to adapt to our environment and maintain well-being. In this article, we present succinct summaries of selected findings from research on the location of trait EI in personality factor space, the biological underpinnings of the construct, indicative applications in the areas of clinical, health, social, educational, organizational, and developmental psychology, and trait (...) EI training. Findings to date suggest that individual differences in trait EI are a consistent predictor of human behavior across the life span. (shrink)

This paper focuses on the use of ‘black box’ AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI’s implicit assumptions and an individual patient’s background situation.Pacecurrent clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient’s informed consent or violates a more general obligation (...) to warn him about potentially harmful consequences. To support this view, I argue, first, that the already widely accepted conditions in the evaluation of risks, i.e. the ‘nature’ and ‘likelihood’ of risks, speak in favour of disclosure and, second, that principled objections against the disclosure of these risks do not withstand scrutiny. Moreover, I also explain that these risks are exacerbated by pandemics like the COVID-19 crisis, which further emphasises their significance. (shrink)

This review seeks to present a comprehensive picture of recent discussions in the social sciences of the anticipated impact of AI on the world of work. Issues covered include: technological unemployment, algorithmic management, platform work and the politics of AI work. The review identifies the major disciplinary and methodological perspectives on AI’s impact on work, and the obstacles they face in making predictions. Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist imperative and (...) nationalistic pressures. (shrink)

Our fascination with artificial intelligence (AI), robots and sentient machines has a long history, and references to such humanoids are present even in ancient myths and folklore. The advancements in digital and computational technology have turned this fascination into apprehension, with the machines often being depicted as a binary to the human. However, the recent domains of academic enquiry such as transhumanism and posthumanism have produced many a literature in the genre of science fiction (SF) that endeavours to alter (...) this antagonistic notion of AI. In his novel Klara and the Sun, Kazuo Ishiguro explores this notion of AI as a caring machine capable of nursing an ailing young girl back to health. Through this portrayal of AI as a sentient being capable of empathy and cognition, Ishiguro is attempting to usher in a new perception of AI: a posthuman perception that challenges the conventional notions of AI as a machine devoid of emotions. The novel further expands on the idea of self, soul and human consciousness and ponders on the question, what makes humans human, and if it is possible to imbibe these qualities onto an AI. Owing to the novelty of this notion, an unexplored avenue that deserves further exploration, this paper examines the plausibility of this new notion of AI through a careful exegesis of the novel. The paper also attempts to chart the impact of SF in society and culture. The study reveals a positive shift in perception towards AI, and there seems to be much scope for interdisciplinary and transdisciplinary research. (shrink)

Over the past ten years, we have worked in a collaboration between educators and computer scientists at the University of Illinois to imagine futures for education in the context of what is loosely called “artificial intelligence.” Unhappy with the first generation of digital learning environments, our agenda has been to design alternatives and research their implementation. Our starting point has been to ask, what is the nature of machine intelligence, and what are its limits and potentials in education? (...) This paper offers some tentative answers, first conceptually, and then practically in an overview of the results of a number of experimental implementations documented in greater detail elsewhere. Our key finding is that artificial intelligence—in the context of the practices of electronic computing developing over the past three quarters of a century—will never in any sense “take over” the role of teacher, because how it works and what it does are so profoundly different from human intelligence. However, within the limits that we describe in this paper, it offers the potential to transform education in ways that—counterintuitively perhaps—make education more human, not less. (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be (...) preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Diffusion AI algorithms and generative image models on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images (...) that are both realistic and imaginative, creating new possibilities for architectural design and aesthetics. This comprehensive overview of the impact of Diffusion AI algorithms and generative image models on the field of architecture shows how they are changing the way architects approach their work. With a foreword by Lev Manovich—artist, writer and one of the world's most influential digital culture theorists. Sharing the work and insights of a team of designers and theorists from a range of backgrounds, offering disciplinary depth, and covering the full impact of these tools and models on architecture, Diffusions in Architecture includes information on: Fresh perspectives on design and aesthetics, with designs, images, and commentary from 22 leading architects, theorists, and designersThe potential of prompt engineering and text-to-image models applicable to a broad interdisciplinary audienceWhether image generators, or AI in general, will be an aid for human design, or potentially displace humans from the market fundamentals of a larger debate in the architectural discourse (and practice) on the use of image generatorsCollecting the different ideas that have emerged in the field, Diffusions in Architecture provides architects, designers, concept artists, and theorists with an overview of this cornucopia of architectural imaginations produced in a common effort between humans and artificial intelligence. (shrink)

Artificial Intelligence technology presents a multitude of ethical concerns, many of which are being actively considered by organizations ranging from small groups in civil society to large corporations and governments. However, it also presents ethical concerns which are not being actively considered. This paper presents a broad overview of twelve topics in ethics in AI, including function, transparency, evil use, good use, bias, unemployment, socio-economic inequality, moral automation and human de-skilling, robot consciousness and rights, dependency, social-psychological effects, and spiritual (...) effects. Each of these topics will be given a brief discussion, though each deserves much deeper consideration. (shrink)

Artificial intelligence receives attention in media as well as in academe and business. In media coverage and reporting, AI is predominantly described in contrasted terms, either as the ultimate solution to all human problems or the ultimate threat to all human existence. In academe, the focus of computer scientists is on developing systems that function, whereas philosophy scholars theorize about the implications of this functionality for human life. In the interface between technology and philosophy there is, however, one imperative (...) aspect of AI yet to be articulated: how do intelligent systems make inferences? We use the overarching concept “Artificial Intelligent Behaviour” which would include both cognition/processing and judgment/behaviour. We argue that due to the complexity and opacity of artificial inference, one needs to initiate systematic empirical studies of artificial intelligent behavior similar to what has previously been done to study human cognition, judgment and decision making. This will provide valid knowledge, outside of what current computer science methods can offer, about the judgments and decisions made by intelligent systems. Moreover, outside academe—in the public as well as the private sector—expertise in epistemology, critical thinking and reasoning are crucial to ensure human oversight of the artificial intelligent judgments and decisions that are made, because only competent human insight into AI-inference processes will ensure accountability. Such insights require systematic studies of AI-behaviour founded on the natural sciences and philosophy, as well as the employment of methodologies from the cognitive and behavioral sciences. (shrink)

This book provides an analysis of the development which has lead up to the formation of a joint field of artificial intelligence and law. It discusses the basic foundations and also addresses the future prospects of the discipline. The author formulates a design approach for advanced Artificial Intelligence systems for law, and concludes with a discussion about the potentialities and the consequences of future development.

As China and the United States strive to be the primary global leader in AI, their visions are coming into conflict. This is frequently painted as a fundamental clash of civilisations, with evidence based primarily around each country’s current political system and present geopolitical tensions. However, such a narrow view claims to extrapolate into the future from an analysis of a momentary situation, ignoring a wealth of historical factors that influence each country’s prevailing philosophy of technology and thus their overarching (...) AI strategies. In this article, we build a philosophy-of-technology-grounded framework to analyse what differences in Chinese and American AI policies exist and, on a fundamental level, why they exist. We support this with Natural Language Processing methods to provide an evidentiary basis for our analysis of policy differences. By looking at documents from three different American presidential administrations––Barack Obama, Donald Trump, and Joe Biden––as well as both national and local policy documents (many available only in Chinese) from China, we provide a thorough comparative analysis of policy differences. This article fills a gap in US–China AI policy comparison and constructs a framework for understanding the origin and trajectory of policy differences. By investigating what factors are informing each country’s philosophy of technology and thus their overall approach to AI policy, we argue that while significant obstacles to cooperation remain, there is room for dialogue and mutual growth. (shrink)

Several technological developments, such as self-service technologies and artificial intelligence, are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral (...) concerns and behaviors differ when interacting with technologies versus humans. We show that moral intention is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. (shrink)

AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. (...) This work should be read by anyone interested in the rapidly evolving relationship between AI and the law. (shrink)

This article develops a conceptual framework for regulating Artificial Intelligence (AI) that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published between 2010 and 2020, a dispersed body of knowledge loosely centred around the “framework” concept was organised, described, and pictured for better understanding. The resulting integrative framework encapsulates 21 prior depictions of the policy-making process, aiming to achieve (...) gold-standard societal values, such as fairness, freedom and long-term sustainability. This challenge of integrating the AIR literature was matched by the identification of a structural common ground among different approaches. The AIR framework results from an effort to identify and later analytically deduce synthetic, and generic tool for a country-specific, stakeholder-aware analysis of AIR matters. Theories and principles as diverse as Agile and Ethics were combined in the “AIR framework”, which provides a conceptual lens for societies to think collectively and make informed policy decisions related to what, when, and how the uses and applications of AI should be regulated. Moreover, the AIR framework serves as a theoretically sound starting point for endeavours related to AI regulation, from legislation to research and development. As we know, the (potential) impacts of AI on society are immense, and therefore the discourses, social negotiations, and applications of this technology should be guided by common grounds based on contemporary governance techniques, and social values legitimated via dialogue and scientific research. (shrink)

There has recently been a surge of development in augmented reality (AR) technologies that has led to an ecosystem of hardware and software for AR, including tools for artists and designers to accelerate the design of AR content and experiences without requiring complex programming. AR is viewed as a key “disruptive technology” and future display technologies (such as digital eyewear) will provide seamless continuity between reality and the digitally augmented. This article will argue that the technologization of human perception and (...) experience of reality, coupled with the development of artificial intelligence (AI)–based natural language assistants, may lead to a secular re‐enchantment of the world, in the sense outlined by Charles Taylor, where human existence is shaped through AR inhabited by advanced personal and social AI agents in the form of digital avatars and daemons, and that enchantment has been persistent throughout the formation of modernity and is being rekindled by the integration of AI in the plane of AR. (shrink)

Various Value-Conscious Design frameworks have recently emerged to introduce moral and ethical intelligence into business and technical design contexts, with the goal of proactively influencing the design of technologies to account for moral and ethical values during the conception and design process. Two attempts to insert ethical intelligence into technical design communities to influence the design of technologies in ethical- and value-conscious ways are described, revealing discouraging results. Learning from these failed attempts, the article identifies three key challenges (...) of pragmatic engagement with technical design communities: confronting competing values; identifying the role of the values advocate; and the justification of a value framework. Addressing these challenges must become a priority if one is to be successful in pragmatically engaging with real-world business and design contexts to bring moral and ethical intelligence to bear in the design of emerging information and communication technologies. (shrink)

Machine learning algorithms are increasingly used to support decision-making in the exercise of public authority. Here, we argue that an important consideration has been overlooked in previous discussions: whether the use of ML undermines the democratic legitimacy of public institutions. From the perspective of democratic legitimacy, it is not enough that ML contributes to efficiency and accuracy in the exercise of public authority, which has so far been the focus in the scholarly literature engaging with these developments. According to one (...) influential theory, exercises of administrative and judicial authority are democratically legitimate if and only if administrative and judicial decisions serve the ends of the democratic law maker, are based on reasons that align with these ends and are accessible to the public. These requirements are not satisfied by decisions determined through ML since such decisions are determined by statistical operations that are opaque in several respects. However, not all ML-based decision support systems pose the same risk, and we argue that a considered judgment on the democratic legitimacy of ML in exercises of public authority need take the complexity of the issue into account. This paper outlines considerations that help guide the assessment of whether a ML undermines democratic legitimacy when used to support public decisions. We argue that two main considerations are pertinent to such normative assessment. The first is the extent to which ML is practiced as intended and the extent to which it replaces decisions that were previously accessible and based on reasons. The second is that uses of ML in exercises of public authority should be embedded in an institutional infrastructure that secures reason giving and accessibility. (shrink)

Alan Turing’s 1950 imitation game has been widely understood as a means for testing if an entity is intelligent. Following a series of papers by Diane Proudfoot, I offer a socio-technological interpretation of Turing’s paper and present an alternative way of understanding both the imitation game and Turing’s concept of intelligence. Turing, I claim, saw intelligence as a social concept, meaning that possession of intelligence is a property determined by society’s attitude toward the entity. He realized that (...) as long as human society held a prejudiced attitude toward machinery—seeing machines a priori as mindless objects—machines could not be said to be intelligent, by definition. He also realized, though, that if humans’ a priori, chauvinistic attitude toward machinery changed, the existence of intelligent machines would become logically possible. Turing thought that such a change would eventually occur: He believed that when scientists overcome the technological challenge of constructing sophisticated machines that could imitate human verbal behavior—i.e., do well in the imitation game—humans’ prejudiced attitude toward machinery will have altered in such a way that machines could be said to be intelligent. The imitation game, for Turing, was not an intelligence test, but a technological aspiration whose realization would likely involve a change in society’s attitude toward machines. (shrink)

Artificial intelligence (AI) is becoming part of the everyday. During this transition, people’s intention to use AI technologies is still unclear and emotions such as fear are influencing it. In this paper, we focus on autonomous cars to first verify empirically the extent to which people fear AI and then examine the impact that fear has on their intention to use AI-driven vehicles. Our research is based on a systematic survey and it reveals that while individuals are largely afraid (...) of cars that are driven by AI, they are nonetheless willing to adopt this technology as soon as possible. To explain this tension, we extend our analysis beyond just fear and show that people also believe that AI-driven cars will generate many individual, urban and global benefits. Subsequently, we employ our empirical findings as the foundations of a theoretical framework meant to illustrate the main factors that people ponder when they consider the use of AI tech. In addition to offering a comprehensive theoretical framework for the study of AI technology acceptance, this paper provides a nuanced understanding of the tension that exists between the fear and adoption of AI, capturing what exactly people fear and intend to do. (shrink)