It is a popular view thatpractical deliberation excludes foreknowledge of one's choice. Wolfgang Spohn and Isaac Levi have argued that not even a purely probabilistic self-predictionis available to thedeliberator, if one takes subjective probabilities to be conceptually linked to betting rates. It makes no sense to have a betting rate for an option, for one's willingness to bet on the option depends on the net gain from the bet, in combination with the option's antecedent utility, rather than on the offered (...) odds. And even apart from this consideration, assigning probabilities to the options among which one is choosing is futile since such probabilities could be of no possible use in choice. The paper subjects these arguments to critical examination and suggests that, appearances notwithstanding, practical deliberation need not crowd outself-prediction. (shrink)

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)

This book develops an Aristotelian account of the virtue of practical intelligence or "phronesis"--an excellence of deliberating and making choices--which ...

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)

Organizations such as the EU High-Level Expert Group on AI and the IEEE have recently formulated ethical principles and (moral) values that should be adhered to in the design and deployment of artificial intelligence (AI). These include respect for autonomy, non-maleficence, fairness, transparency, explainability, and accountability. But how can we ensure and verify that an AI system actually respects these values? To help answer this question, I propose an account for determining when an AI system can be said to (...) embody certain values. This account understands embodied values as the result of design activities intended to embed those values in such systems. AI systems are here understood as a special kind of sociotechnical system that, like traditional sociotechnical systems, are composed of technical artifacts, human agents, and institutions but—in addition—contain artificial agents and certain technical norms that regulate interactions between artificial agents and other elements of the system. The specific challenges and opportunities of embedding values in AI systems are discussed, and some lessons for better embedding values in AI systems are drawn. (shrink)

Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and (...) inherently interdisciplinary area—spanning socio-legal studies to formal science—there is little certainty of what an AIC future might look like. This article offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space. (shrink)

Gilbert Ryle; Intelligence and the Logic of the Nature-Nurture Issue Reply to J. P. White, Journal of Philosophy of Education, Volume 8, Issue 1, 30 May 2006, P.

It is the contention of this paper that ethics of work ought to be anthropological, and artificial intelligence (AI) research and development, which is the focus of work today, should be anthropological, that is, human-centered. This paper discusses the philosophical and theological implications of the development of AI research on the intrinsic nature of work and the nature of the human person. AI research and the implications of its development and advancement, being a relatively new phenomenon, have not been (...) comprehensively interrogated in the social and ethical teachings of the Catholic Church. This paper, therefore, proposes a path for this interrogation by expounding a discourse which is believed to be epistemically helpful in the developing discourse of AI in the ethical and social teachings of the Church. The advancement in the research on AI is not only redefining the meaning of work, but, even more so, it is questioning the metaphysical notion of the human person and the theological notion of work as an intrinsic part in the selfhood and dignity of the human person. (shrink)

The first interdisciplinary study of place, bringing together many of the key thinkers writing on the concept in the twenty-first century.

A modern philosopher and author of Modern Philosophy presents a useful, refreshing guide for "doing" rather than "studying" philosophy, making the subject accessible and real to the layperson. 10,000 first printing.

I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...) the question, "Can machines think?" is to be sought in a statistical survey such as a Gallup poll. But this is absurd. Instead of attempting such a definition I shall replace the question by another, which is closely related to it and is expressed in relatively unambiguous words. The new form of the problem can be described in terms of a game which we call the 'imitation game." It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart front the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman. He knows them by labels X and Y, and at the end of the game he says either "X is A and Y is B" or "X is B and Y is A." The interrogator is allowed to put questions to A and B. We now ask the question, "What will happen when a machine takes the part of A in this game?" Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman? These questions replace our original, "Can machines think?". (shrink)

The great philosopher and theologian Bernard Lonergan is best known for his transcendental method, but he considered his most important work to be in macroeconomics. The authors lift up his innovative theory as a model of his method, and they propose developments in both fields.

Although decision‐making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of questions they can address, and increasing their predictive power. In many cases, however, the most powerful machine learning techniques purchase diagnostic or predictive accuracy at the expense of our ability to access “the knowledge within the machine.” Without an explanation in terms of reasons or (...) a rationale for particular decisions in individual cases, some commentators regard ceding medical decision‐making to black box systems as contravening the profound moral responsibilities of clinicians. I argue, however, that opaque decisions are more common in medicine than critics realize. Moreover, as Aristotle noted over two millennia ago, when our knowledge of causal systems is incomplete and precarious—as it often is in medicine—the ability to explain how results are produced can be less important than the ability to produce such results and empirically verify their accuracy. (shrink)

As artificial intelligence (AI) integrates across social domains, prevailing technical paradigms often overlook human relational needs vital for cooperative resilience. Alternative pathways consciously supporting dignity and wisdom warrant consideration. Integrating seminal insights from virtue and care ethics, this article delineates the following four cardinal design principles prioritizing communal health: (1) affirming the sanctity of life; (2) nurturing healthy attachment; (3) facilitating communal wholeness; and (4) safeguarding societal resilience. Grounding my analysis in the rich traditions of moral philosophy, I argue (...) that these principles scaffold sustainable innovation trajectories that consciously center shared welfare advancement over detached technical capabilities or efficiency benchmarks alone. Elucidating connections with pioneering initiatives demonstrates fragments of this vision taking embryonic shape, yet pervasive adoption remains largely aspirational to date. Fulfilling dignity-based artificial intelligence demands ongoing collective commitment beyond firms’ profit motives or governance proceduralism. My conclusions urge technology policies and priorities directed toward empowering the vulnerability of people rather than controlling the optimization of systems. (shrink)

Smart Cities consist of a multitude of interconnected devices and services to, among others, enhance efficiency, comfort, and safety. To achieve these aims, smart cities rely on an interplay of measures including the deployment of interventions targeted to foster certain human behaviors, such as saving energy, or collecting and exchanging sensor and user data. Both aspects have ethical implications, e.g., when it comes to intervention design or the handling of privacy-related data such as personal information, user preferences or geolocations. Resulting (...) concerns must be taken seriously, as they reduce user acceptance and can even lead to the abolition of otherwise promising Smart City projects. Established guidelines for ethical research and practice from the psychological sciences provide a useful framework for the kinds of ethical issues raised when designing human-centered interventions or dealing with user-generated data. This article thus reviews relevant psychological guidelines and discusses their applicability to the Smart City context. A special focus is on the guidelines’ implications and resulting challenges for certain Smart City applications. Additionally, potential gaps in current guidelines and the limits of applicability are reflected upon. (shrink)

Despite there being little consensus on what intelligence is or how to measure it, the media and the public have become increasingly preoccupied with the concept owing to recent accomplishments in machine learning and research on artificial intelligence (AI). Governments and corporations are investing billions of dollars to fund researchers who are keen to produce an ever‐expanding range of artificial intelligent systems. More than 30 countries have announced such research initiatives over the past 3 years 1. For example, (...) the EU Commission pledged to increase the investment in AI research to €1.5 billion by 2020 (from €500 million in 2017), while China has committed $2.1 billion towards an AI technology park in Beijing alone 1. This global investment in AI is astonishing and prompts several questions: What are the true possibilities and limitations of AI? What do AI researchers and developers mean by “intelligence”? How does this compare to the everyday concept of intelligence and how the term is other branches of cognitive science? And can machine learning produce anything that is truly “intelligent”? (shrink)

This book provides an overview of the various biometric technologies, decision-making algorithms and the subsequent market expansion opportunity. Further, this book proposes a Throughput Model, which draws from computer science, economic and psychology literatures to model perceptual, informational sources, judgmental processes and decision choice algorithms. This approach describes how biometrics might be implemented to reduce risks to individuals and organizations, especially when dealing with digital based mediums.

1. WHAT IS ARTIFICIAL INTELLIGENCE? One of the fascinating aspects of the field of artificial intelligence (AI) is that the precise nature of its subject ..

This paper argues that to negate the ontological difference between the natural and the artificial, is not plausible; nor is the reduction of the natural to the artificial or vice versa possible. Except if one intends to empty the semantic content of the terms and notions: “natural” and “artificial.” Most philosophical discussions on Artificial Intelligence (AI) have always been in relation to the human person, especially as it relates to human intelligence, consciousness and/or mind in general. This paper, (...) intends to broaden the conversation, by discussing AI in relation to the notions of “nature” and the “artificial.” This intention is to more critically understand the artificiality in and of artificial intelligence. To achieve this, the notion of “nature” in Aristotle’s Philosophy of Nature, has been employed as an epistemological tool in interrogating the notion of the artificial and the objectives of the science and technology of Artificial Intelligence. (shrink)

This paper investigates the claim that artificial Intelligence Systems cannot be held morally responsible because they do not have an ability for agential self-awareness e.g. they cannot be aware that they are the agents of an action. The main suggestion is that if agential self-awareness and related first person representations presuppose an awareness of a self, the possibility of responsible artificial intelligence systems cannot be evaluated independently of research conducted on the nature of the self. Focusing on a (...) specific account of the self from the phenomenological tradition, this paper suggests that a minimal necessary condition that artificial intelligence systems must satisfy so that they have a capability for self-awareness, is having a minimal self defined as ‘a sense of ownership’. As this sense of ownership is usually associated with having a living body, one suggestion is that artificial intelligence systems must have similar living bodies so they can have a sense of self. Discussing cases of robotic animals as examples of the possibility of artificial intelligence systems having a sense of self, the paper concludes that the possibility of artificial intelligence systems having a ‘sense of ownership’ or a sense of self may be a necessary condition for having responsibility. (shrink)

L'intelligible connaissance esthétique, ce serait l'opération de déchiffrement et d'interprétation d'une oeuvre, d'un texte ou d'une image par un observateur ; une herméneutique en somme qui définit le processus, la mise en place du ...

This chapter presents an overview of the issues that arise when logic is used in helping to understand problems in intelligent reasoning and to guide the design of mechanized reasoning systems. It provides some historical and technical details concerning nonmonotonic logic and reasoning about action and change, a topic that is not only central in artificial intelligence but that is normally of considerable interest to philosophers. The remaining sections provide brief sketches of selected topics, with references to the primary (...) literature. (shrink)

Stimulating discussion of the fundamental concepts we employ in every day consideration of moral questions for the general reader.

The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design (...) of an Intelligent Tutoring System for teaching English language grammar to help students learn English grammar easily and smoothly. The system provides all topics of English grammar and generates a series of questions automatically for each topic for the students to solve. The system adapts with all the individual differences of students and begins gradually with students from easier to harder level. The intelligent tutoring system was given to a group of students of all age groups to try it and to see the impact of the system on students. The results showed a good satisfaction of the students toward the system. (shrink)

In How We Get Along, J. David Velleman argues for two related theses: first, that ‘making sense’ of oneself to oneself and others is a constitutive aim of action; second, that this fact about action grounds normativity. Examining each thesis in turn, I argue against the first that an agent may deliberately act in ways which make sense in terms of neither her self-conception nor others' conceptions of her. Against the second thesis, I argue that some vices are such that (...) the agents concerned would make more sense to neither themselves nor others if they were to reform, and, furthermore, that an agent may make more sense to herself and others by becoming more, rather than less, vicious. I conclude that both theses should be rejected. (shrink)

From artistic performances in the visual arts and in music to motor control in gymnastics, from tool use to chess and language, humans excel in a variety of skills. On the plausible assumption that skillful behavior is a visible manifestation of intelligence, a theory of intelligence—whether human or not—should be informed by a theory of skills. More controversial is the question as to whether, in order to theorize about intelligence, we should study certain skills in particular. My (...) target is the view that only a particular class/kind of skill (i.e., ‘theoretical’, or ‘intellectual’ skills, versus ‘practical’, or ‘embodied’ skills) manifests intelligence, or especially does so. I call this view ‘Intelligence Elitism’. Intelligence Elitism is pervasive in popular culture, in academic culture, as well as in psychometrics. It has, arguably, a long pedigree in philosophy (though explicit arguments for it are rare). But it is a substantive view which, if false, can promote unfairness. In this article, I defend Intelligence Socialism—the claim that intelligent behavior is everywhere skillful behavior is. I go on to isolate the best case for the further Elitist claim that, even if all skillful behavior is intelligent in some modest sense of ‘intelligence’, there is a principled difference in intelligence between theoretical, or intellectual, skills, on one side, and practical, or embodied skills, on the other, and I show it wanting. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a (...) ‘good AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

The future rests under the sign of technology. Given the prevalence of technological neutrality and inevitabilism, most conceptualizations of the future tend to ignore moral problems. In this paper we argue that every choice about future technologies is a moral choice and even the most technology-dominated scenarios of the future are, in fact, moral provocations we have to imagine solutions to. We begin by explaining the intricate connection between morality and the future. After a short excursion into the history of (...) Artificial Intelligence, we analyse two possible scenarios, which show that building the future with technology is, first and foremost, a moral endeavor. (shrink)

Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and (...) parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much. The notions of central and peripheral systems evaporateeverything is both central and peripheral. Based on these principles we have built a very successful series of mobile robots which operate without supervision as Creatures in standard office environments. (shrink)

Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools made (...) and used by humans; here, the main sections are privacy (2.1), manipulation (2.2), opacity (2.3), bias (2.4), autonomy & responsibility (2.6) and the singularity (2.7). Then we look at AI systems as subjects, i.e. when ethics is for the AI systems themselves in machine ethics (2.8.) and artificial moral agency (2.9). Finally we look at future developments and the concept of AI (3). For each section within these themes, we provide a general explanation of the ethical issues, we outline existing positions and arguments, then we analyse how this plays out with current technologies and finally what policy conse-quences may be drawn. (shrink)

The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer science (...) curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

The objective of this essay is to provide the beginning of a principled classification of some of the ways space is intelligently used. Studies of planning have typically focused on the temporal ordering of action, leaving as unaddressed questions of where to lay down instruments, ingredients, work-in-progress, and the like. But, in having a body, we are spatially located creatures: we must always be facing some direction, have only certain objects in view, be within reach of certain others. How we (...) manage the spatial arrangement of items around us is not an afterthought: it is an integral part of the way we think, plan, and behave. The proposed classification has three main categories: spatial arrangements that simplify choice; spatial arrangements that simplify perception; and spatial dynamics that simplify internal computation. The data for such a classification is drawn from videos of cooking, assembly and packing, everyday observations in supermarkets, workshops and playrooms, and experimental studies of subjects playing Tetris, the computer game. This study, therefore, focuses on interactive processes in the medium and short term: on how agents set up their workplace for particular tasks, and how they continuously manage that workplace. (shrink)

National Artificial Intelligence (AI) strategies articulate imaginaries of the integration of AI into society and envision the governing of AI research, development and applications accordingly. To integrate these central aspects of national AI strategies under one coherent perspective, this paper presented an analysis of Germany’s strategy ‘AI made in Germany’ through the conceptual lens of ordoliberal political rationality. The first part of the paper analyses how the guiding vision of a human-centric AI not only adheres to ethical and legal (...) principles consistent with Germany’s liberal democratic constitutional system but also addresses the risks and promises inherent to the ordoliberal problematization of freedom. Second, it is scrutinized how the strategy cultivates the fear of not achieving technological sovereignty in the AI sector. Thereby, it frames the global AI race as a race of competing (national) approaches to governing AI and articulates an ordoliberal approach to governing AI (the ‘third way’), according to which government has to operate between the twin dangers of governing too much and not governing enough. Third, the paper analyses how this ordoliberal proportionality of governing structures Germany’s Science Technology & Innovation Policy. It is shown that the corresponding risk-based approach of regulating AI constitutes a security apparatus as it produces an assessment of fears: weighting the fear of the failure to innovate with the fear of the ramifications of innovation. Finally, two lines of critical engagement based on this analysis are conducted. (shrink)