Results for 'Ai Ting Goh'

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  1.  10
    Validation of the Children’s Eating Behavior Questionnaire in 5 and 6 Year-Old Children: The GUSTO Cohort Study.Phaik Ling Quah, Lisa R. Fries, Mei Jun Chan, Anna Fogel, Keri McCrickerd, Ai Ting Goh, Izzuddin M. Aris, Yung Seng Lee, Wei Wei Pang, Iccha Basnyat, Hwee Lin Wee, Fabian Yap, Keith M. Godfrey, Yap-Seng Chong, Lynette P. C. Shek, Kok Hian Tan, Ciaran G. Forde & Mary F. F. Chong - 2019 - Frontiers in Psychology 10.
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  2.  3
    Obligation or Desire: Variation in Motivation for Compliance With COVID-19 Public Health Guidance.Ting Ai, Glenn Adams & Xian Zhao - 2021 - Frontiers in Psychology 12.
    Why do people comply with coronavirus disease 2019 public health guidance? This study considers cultural-psychological foundations of variation in beliefs about motivations for such compliance. Specifically, we focused on beliefs about two sources of prosocial motivation: desire to protect others and obligation to society. Across two studies, we observed that the relative emphasis on the desire to protect others as an explanation for compliance was greater in the United States settings associated with cultural ecologies of abstracted independence than in Chinese (...)
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  3.  1
    The Impact of Caring for Dying Patients in Intensive Care Units on a Physician’s Personhood: A Systematic Scoping Review.Joshua Tze Yin Kuek, Lisa Xin Ling Ngiam, Nur Haidah Ahmad Kamal, Jeng Long Chia, Natalie Pei Xin Chan, Ahmad Bin Hanifah Marican Abdurrahman, Chong Yao Ho, Lorraine Hui En Tan, Jun Leng Goh, Michelle Shi Qing Khoo, Yun Ting Ong, Min Chiam, Annelissa Mien Chew Chin, Stephen Mason & Lalit Kumar Radha Krishna - 2020 - Philosophy, Ethics, and Humanities in Medicine 15 (1):1-16.
    Background Supporting physicians in Intensive Care Units s as they face dying patients at unprecedented levels due to the COVID-19 pandemic is critical. Amidst a dearth of such data and guided by evidence that nurses in ICUs experience personal, professional and existential issues in similar conditions, a systematic scoping review is proposed to evaluate prevailing accounts of physicians facing dying patients in ICUs through the lens of Personhood. Such data would enhance understanding and guide the provision of better support for (...)
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  4.  4
    Gratitude Inhibits Competitive Behaviour in Threatening Interactions.Eri Sasaki, Lile Jia, Heng Yin Lwa & Mei Ting Goh - 2020 - Cognition and Emotion 34 (6):1097-1111.
    It is well established that gratitude favours prosocial tendencies in neutral and amicable social interactions. Less is clear, however, about the role of gratitude in threatening situations that br...
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  5. Politics of Love: Love as a Religious and Political Discourse in Modern China Through the Lens of Political Leaders.Ting Guo - 2020 - Critical Research on Religion 8 (1):39-52.
    As part of a larger project, this paper serves as an overview that examines how “ai” 愛 as an affective concept made its way into the Chinese vocabulary, how it gained popularity at specific junctures in modern Chinese history, and the ways in which it has been adapted as a marker of modernity and a political discourse in Republican and Communist China in distinct ways. Although literary scholars have noted the significance of the shaping of love as an affective concept (...)
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  6. Analysis of Learning Behavior of Human Posture Recognition in Maker Education.Yueh-Min Huang, An-Yen Cheng & Ting-Ting Wu - 2022 - Frontiers in Psychology 13.
    Maker education mainly involves “hands-on” as the core concept and combines various educational theories to redefine interactions between learners and teachers in a learning environment. Identification of meaningful “hands-on” behaviors is crucial to evaluate students’ learning performance, although an instructor’s observation of every student is not feasible. However, such observation is possible with the aid of the artificial intelligence image processing technique; the AI learning behavior recognition system can serve as the second eyes of teachers, thus accounting for individual differences. (...)
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  7. Artificiell Intelligens: Tankar utan innehåll?Sten Lindström & Ingar Brinck - 1993 - In Åke E. Andersson & Nils-Eric Sahlin (eds.), Huvudinnehåll: Tolv Filosofiska Uppsatser. 641 91 Nora, Sverige: pp. 121-146.
    Artificiell intelligens (AI) är ett ungt forskningsområde där många av de grundläggande problemen förefaller att vara av filosofisk art.1 Ämnet har sina filosofiska rötter dels i traditionen från Leibniz, Frege, Russell och Hilbert, som strävar efter att formalisera principerna för exakt tänkande, dels i den klassiska mekanismen: idén att människan är en maskin och att det mänskliga tänkandet är en mekanisk process. Som en första approximation kan vi säga att AI är det vetenskapliga studiet av hur man konstruerar och bygger (...)
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  8. Ai Silin Lun Wen Xuan.Silin Ai - 2011 - Zhonghua Shu Ju.
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  9. How to design AI for social good: seven essential factors.Luciano Floridi, Josh Cowls, Thomas C. King & Mariarosaria Taddeo - 2020 - Science and Engineering Ethics 26 (3):1771–1796.
    The idea of artificial intelligence for social good is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are (...)
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  10.  60
    How to Choose Normative Concepts.Ting Cho Lau - 2022 - Analytic Philosophy.
    Matti Eklund (2017) has argued that ardent realists face a serious dilemma. Ardent realists believe that there is a mind-independent fact as to which normative concepts we are to use. Eklund claims that the ardent realist cannot explain why this is so without plumping in favor of their own normative concepts or changing the topic. The paper first advances the discussion by clarifying two ways of understanding the question of which normative concepts to choose: a theoretical question about which concepts (...)
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  11. Making AI Meaningful Again.Jobst Landgrebe & Barry Smith - 2021 - Synthese 198 (March):2061-2081.
    Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...)
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  12.  23
    Fouilles d'Ai Khanoum. 2. Les Propylees de la Rue Principale. [REVIEW]R. A. Tomlinson, Ai Khanoum & O. Guillaume - 1985 - Journal of Hellenic Studies 105:229-230.
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  13.  19
    Fouilles d'Ai Khanoum. 3. Le sanctuaire du temple a niches indentees. 2. Les trouvailles. [REVIEW]R. A. Tomlinson, Ai Khanoum & H. -P. Francfort - 1986 - Journal of Hellenic Studies 106:247-247.
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  14.  10
    Fouilles d'Ai Khanoum. 4. Les Monnaies Hors Tresors. Questions d'Histoire Greco-Bactrienne. [REVIEW]Susan Sherwin-White, Ai Khanoum & P. Bernard - 1987 - Journal of Hellenic Studies 107:238-239.
  15.  26
    Spoken Word Recognition in Early Childhood: Comparative Effects of Vowel, Consonant and Lexical Tone Variation.Leher Singh, Hwee Hwee Goh & Thilanga D. Wewalaarachchi - 2015 - Cognition 142:1-11.
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  16.  17
    Tinged Shareholder Theory: Or What’s so Special About Stakeholders?Moore Geoff - 1999 - Business Ethics: A European Review 8 (2):117-127.
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  17. How AI Can Be a Force for Good.Mariarosaria Taddeo & Luciano Floridi - 2018 - Science Magazine 361 (6404):751-752.
    This article argues that an ethical framework will help to harness the potential of AI while keeping humans in control.
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  18.  42
    AI Assistants and the Paradox of Internal Automaticity.William A. Bauer & Veljko Dubljević - 2020 - Neuroethics 13 (3):303-310.
    What is the ethical impact of artificial intelligence assistants on human lives, and specifically how much do they threaten our individual autonomy? Recently, as part of forming an ethical framework for thinking about the impact of AI assistants on our lives, John Danaher claims that if the external automaticity generated by the use of AI assistants threatens our autonomy and is therefore ethically problematic, then the internal automaticity we already live with should be viewed in the same way. He takes (...)
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  19.  9
    Tinged Shareholder Theory: Or What’s so Special About Stakeholders?Geoff Moore - 1999 - Business Ethics, the Environment and Responsibility 8 (2):117-127.
    This paper contrasts the normative foundations of the stakeholder and shareholder theories of the firm. It demonstrates how the shareholder theory of the firm appears to have at least as much normative support as stakeholder theory and suggests that a way forward may be for a variant of pure shareholder theory to emerge.
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  20.  62
    Tinged Shareholder Theory: Or What's so Special About Stakeholders?Geoff Moore - 1999 - Business Ethics, the Environment and Responsibility 8 (2):117–127.
    This paper contrasts the normative foundations of the stakeholder and shareholder theories of the firm. It demonstrates how the shareholder theory of the firm appears to have at least as much normative support as stakeholder theory and suggests that a way forward may be for a variant of pure shareholder theory to emerge.
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  21.  44
    AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context.Sarah Bankins, Paul Formosa, Yannick Griep & Deborah Richards - forthcoming - Information Systems Frontiers.
    Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions of decision-maker role appropriate- (...)
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  22. In AI We Trust: Ethics, Artificial Intelligence, and Reliability.Mark Ryan - 2020 - Science and Engineering Ethics 26 (5):2749-2767.
    One of the main difficulties in assessing artificial intelligence is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission’s High-level Expert Group on AI have adopted the position that we should establish a relationship of trust with AI and should cultivate trustworthy AI. Trust is one of the most important and defining activities in human relationships, so proposing that AI should be trusted, is a very (...)
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  23.  31
    AI Ethics Should Not Remain Toothless! A Call to Bring Back the Teeth of Ethics.Rowena Rodrigues & Anaïs Rességuier - 2020 - Big Data and Society 7 (2).
    Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. This significantly limits what ethics can (...)
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  24.  5
    Infant Discrimination of Humanoid Robots.Goh Matsuda, Hiroshi Ishiguro & Kazuo Hiraki - 2015 - Frontiers in Psychology 6.
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  25. AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies.James Brusseau - manuscript
    Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. When summed, the scores convert into objective investment guidance. The strategy of incorporating ethics into financial decisions will be recognizable to participants in environmental, social, and governance investing, however, this paper argues that conventional ESG frameworks (...)
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  26.  92
    AI and its New Winter: From Myths to Realities.Luciano Floridi - 2020 - Philosophy and Technology 33 (1):1-3.
    An AI winter may be defined as the stage when technology, business, and the media come to terms with what AI can or cannot really do as a technology without exaggeration. Through discussion of previous AI winters, this paper examines the hype cycle (which by turn characterises AI as a social panacea or a nightmare of apocalyptic proportions) and argues that AI should be treated as a normal technology, neither as a miracle nor as a plague, but rather as of (...)
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  27.  22
    Why AI Ethics Is a Critical Theory.Rosalie Waelen - 2022 - Philosophy and Technology 35 (1):1-16.
    The ethics of artificial intelligence is an upcoming field of research that deals with the ethical assessment of emerging AI applications and addresses the new kinds of moral questions that the advent of AI raises. The argument presented in this article is that, even though there exist different approaches and subfields within the ethics of AI, the field resembles a critical theory. Just like a critical theory, the ethics of AI aims to diagnose as well as change society and is (...)
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  28.  53
    Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence.Shakir Mohamed, Marie-Therese Png & William Isaac - 2020 - Philosophy and Technology 33 (4):659-684.
    This paper explores the important role of critical science, and in particular of post-colonial and decolonial theories, in understanding and shaping the ongoing advances in artificial intelligence. Artificial intelligence is viewed as amongst the technological advances that will reshape modern societies and their relations. While the design and deployment of systems that continually adapt holds the promise of far-reaching positive change, they simultaneously pose significant risks, especially to already vulnerable peoples. Values and power are central to this discussion. Decolonial theories (...)
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  29.  2
    A Turn to the Many: Ai Weiwei.Chang Tan & Ai Weiwei - 2021 - Diacritics 49 (1):150-155.
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  30. Feminist AI: Can We Expect Our AI Systems to Become Feminist?Galit Wellner & Tiran Rothman - 2020 - Philosophy and Technology 33 (2):191-205.
    The rise of AI-based systems has been accompanied by the belief that these systems are impartial and do not suffer from the biases that humans and older technologies express. It becomes evident, however, that gender and racial biases exist in some AI algorithms. The question is where the bias is rooted—in the training dataset or in the algorithm? Is it a linguistic issue or a broader sociological current? Works in feminist philosophy of technology and behavioral economics reveal the gender bias (...)
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  31.  53
    Cue Effectiveness in Communicatively Efficient Discourse Production.Ting Qian & T. Florian Jaeger - 2012 - Cognitive Science 36 (7):1312-1336.
    Recent years have seen a surge in accounts motivated by information theory that consider language production to be partially driven by a preference for communicative efficiency. Evidence from discourse production (i.e., production beyond the sentence level) has been argued to suggest that speakers distribute information across discourse so as to hold the conditional per-word entropy associated with each word constant, which would facilitate efficient information transfer (Genzel & Charniak, 2002). This hypothesis implies that the conditional (contextualized) probabilities of linguistic units (...)
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  32.  84
    In AI We Trust? Perceptions About Automated Decision-Making by Artificial Intelligence.Theo Araujo, Natali Helberger, Sanne Kruikemeier & Claes H. de Vreese - 2020 - AI and Society 35 (3):611-623.
    Fueled by ever-growing amounts of data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research about algorithmic appreciation and algorithmic perceptions, the current study explores the extent to which personal characteristics can be linked to perceptions of automated decision-making by AI, and the boundary conditions of these perceptions, namely the extent to which such perceptions differ across media, health, and judicial contexts. Data (...)
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  33. The AI Gambit — Leveraging Artificial Intelligence to Combat Climate Change: Opportunities, Challenges, and Recommendations.Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo & Luciano Floridi - 2021 - In Vodafone Institute for Society and Communications.
    In this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change and it contribute to combating the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the (...)
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  34.  58
    Discrepancy Between Participants' Understanding and Desire to Know in Informed Consent: Are They Informed About What They Really Want to Know?Jiwon Koh, Eurah Goh, Kyung-Sang Yu, Belong Cho & Jeong Hee Yang - 2012 - Journal of Medical Ethics 38 (2):102-106.
    Background Participants' understanding of clinical trials is important in informed consent. However, little is known about what information participants really want to know. Aims To demonstrate the existence of a discrepancy between participants' understanding and their desire to know. Methods The participants in clinical trials at Seoul National University Hospital were surveyed. The survey consisted of 11 statements based on the essential elements of informed consent. The participants gave two responses to each statement on a five-point Likert scale to rate (...)
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  35.  2
    Memory and Technology: How We Use Information in the Brain and the World.Jason Finley, Farah Naaz & Francine W. Goh - 2018 - Springer Verlag.
    How is technology changing the way people remember? This book explores the interplay of memory stored in the brain and outside of the brain, providing a thorough interdisciplinary review of the current literature, including relevant theoretical frameworks from across a variety of disciplines in the sciences, arts, and humanities. It also presents the findings of a rich and novel empirical data set, based on a comprehensive survey on the shifting interplay of internal and external memory in the 21st century. Results (...)
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  36.  9
    Rebooting Ai: Building Artificial Intelligence We Can Trust.Gary Marcus & Ernest Davis - 2019 - Vintage.
    Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the (...)
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  37.  1
    How Does Psychological Resilience Influence Subjective Career Success of Internet Marketers in China? A Moderated Mediation Model.Ting Wang & Di Gao - 2022 - Frontiers in Psychology 13.
    In this study, the research objective of psychological resilience refers to the emerging professional group of Internet marketers under the background of the COVID-19 pandemic environment. This paper studies the effect of the psychological resilience of Internet marketers on their subjective career success. The result shows that Internet marketers’ psychological resilience has a positive impact on their subjective career success. The work engagement of Internet marketers plays a mediating role in the relationship between psychological resilience and subjective career success. Meanwhile, (...)
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  38.  15
    Incremental Implicit Learning of Bundles of Statistical Patterns.Ting Qian, T. Florian Jaeger & Richard N. Aslin - 2016 - Cognition 157:156-173.
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  39. Excavating AI: the politics of images in machine learning training sets.Kate Crawford & Trevor Paglen - forthcoming - AI and Society:1-12.
    By looking at the politics of classification within machine learning systems, this article demonstrates why the automated interpretation of images is an inherently social and political project. We begin by asking what work images do in computer vision systems, and what is meant by the claim that computers can “recognize” an image? Next, we look at the method for introducing images into computer systems and look at how taxonomies order the foundational concepts that will determine how a system interprets the (...)
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  40.  25
    AI Systems Under Criminal Law: a Legal Analysis and a Regulatory Perspective.Francesca Lagioia & Giovanni Sartor - 2020 - Philosophy and Technology 33 (3):433-465.
    Criminal liability for acts committed by AI systems has recently become a hot legal topic. This paper includes three different contributions. The first contribution is an analysis of the extent to which an AI system can satisfy the requirements for criminal liability: accomplishing an actus reus, having the corresponding mens rea, possessing the cognitive capacities needed for responsibility. The second contribution is a discussion of criminal activity accomplished by an AI entity, with reference to a recent case involving an online (...)
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  41.  11
    Irving Goh. The Reject: Community, Politics, and Religion After the Subject. New York: Fordham University Press, 2015. 384 Pp. [REVIEW]Ann Smock - 2016 - Critical Inquiry 42 (4):1001-1004.
  42.  30
    AI in the Headlines: The Portrayal of the Ethical Issues of Artificial Intelligence in the Media.Leila Ouchchy, Allen Coin & Veljko Dubljević - 2020 - AI and Society 35 (4):927-936.
    As artificial intelligence technologies become increasingly prominent in our daily lives, media coverage of the ethical considerations of these technologies has followed suit. Since previous research has shown that media coverage can drive public discourse about novel technologies, studying how the ethical issues of AI are portrayed in the media may lead to greater insight into the potential ramifications of this public discourse, particularly with regard to development and regulation of AI. This paper expands upon previous research by systematically analyzing (...)
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  43. AI4People—an Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.
    This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...)
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  44.  98
    The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.
    Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...)
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  45. Transparent, Explainable, and Accountable AI for Robotics.Sandra Wachter, Brent Mittelstadt & Luciano Floridi - 2017 - Science (Robotics) 2 (6):eaan6080.
    To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.
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  46.  47
    AI and the Path to Envelopment: Knowledge as a First Step Towards the Responsible Regulation and Use of AI-Powered Machines.Scott Robbins - 2020 - AI and Society 35 (2):391-400.
    With Artificial Intelligence entering our lives in novel ways—both known and unknown to us—there is both the enhancement of existing ethical issues associated with AI as well as the rise of new ethical issues. There is much focus on opening up the ‘black box’ of modern machine-learning algorithms to understand the reasoning behind their decisions—especially morally salient decisions. However, some applications of AI which are no doubt beneficial to society rely upon these black boxes. Rather than requiring algorithms to be (...)
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  47. AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI.Jose Hernandez-Orallo & Karina Vold - 2019 - In Proceedings of the AAAI/ACM 2019 Conference on AIES. pp. 507-513.
    Humans and AI systems are usually portrayed as separate sys- tems that we need to align in values and goals. However, there is a great deal of AI technology found in non-autonomous systems that are used as cognitive tools by humans. Under the extended mind thesis, the functional contributions of these tools become as essential to our cognition as our brains. But AI can take cognitive extension towards totally new capabil- ities, posing new philosophical, ethical and technical chal- lenges. To (...)
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  48.  20
    AI Assistants and the Paradox of Internal Automaticity.William A. Bauer & Veljko Dubljević - 2020 - Neuroethics 13 (3):303-310.
    What is the ethical impact of artificial intelligence assistants on human lives, and specifically how much do they threaten our individual autonomy? Recently, as part of forming an ethical framework for thinking about the impact of AI assistants on our lives, John Danaher claims that if the external automaticity generated by the use of AI assistants threatens our autonomy and is therefore ethically problematic, then the internal automaticity we already live with should be viewed in the same way. He takes (...)
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  49.  30
    Against AI-Improved Personal Memory.Björn Lundgren - 2020 - In Aging between Participation and Simulation. pp. 223–234.
    In 2017, Tom Gruber held a TED talk, in which he presented a vision of improving and enhancing humanity with AI technology. Specifically, Gruber suggested that an AI-improved personal memory (APM) would benefit people by improving their “mental gain”, making us more creative, improving our “social grace”, enabling us to do “science on our own data about what makes us feel good and stay healthy”, and, for people suffering from dementia, it “could make a difference between a life of isolation (...)
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  50. AI Recruitment Algorithms and the Dehumanization Problem.Megan Fritts & Frank Cabrera - 2021 - Ethics and Information Technology (4):1-11.
    According to a recent survey by the HR Research Institute, as the presence of artificial intelligence (AI) becomes increasingly common in the workplace, HR professionals are worried that the use of recruitment algorithms will lead to a “dehumanization” of the hiring process. Our main goals in this paper are threefold: i) to bring attention to this neglected issue, ii) to clarify what exactly this concern about dehumanization might amount to, and iii) to sketch an argument for why dehumanizing the hiring (...)
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