Results for 'Ji-Ye Ai'

1000+ found
Order:
  1. Bioinformatics advances in saliva diagnostics.Ji-Ye Ai, Barry Smith & David T. W. Wong - 2012 - International Journal of Oral Science 4 (2):85--87.
    There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in saliva (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  2.  21
    AI as Ideology: A Marxist Reading (Crawford, Marx/Engels, Debord, Althusser).Jeffrey Reid - manuscript
    Kate Crawford presents AI as “both reflecting and producing social relations and understandings of the world”; or again, as “a form of exercising power, and a way of seeing… as a manifestation of highly organized capital backed by vast systems of extraction and logistics, with supply chains that wrap around the entire planet”. I interpret these material insights through a Marxist understanding of ideology, with reference to Marx/Engels, Guy Debord and Louis Althusser. In the German Ideology, Marx and Engels present (...)
    Download  
     
    Export citation  
     
    Bookmark  
  3.  81
    A new framework for host-pathogen interaction research.Hong Yu, Li Li, Anthony Huffman, John Beverley, Junguk Hur, Eric Merrell, Hsin-hui Huang, Yang Wang, Yingtong Liu, Edison Ong, Liang Cheng, Tao Zeng, Jingsong Zhang, Pengpai Li, Zhiping Liu, Zhigang Wang, Xiangyan Zhang, Xianwei Ye, Samuel K. Handelman, Jonathan Sexton, Kathryn Eaton, Gerry Higgins, Gilbert S. Omenn, Brian Athey, Barry Smith, Luonan Chen & Yongqun He - 2022 - Frontiers in Immunology 13.
    COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved (...)
    Download  
     
    Export citation  
     
    Bookmark  
  4. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   10 citations  
  5. AI and the expert; a blueprint for the ethical use of opaque AI.Amber Ross - forthcoming - AI and Society:1-12.
    The increasing demand for transparency in AI has recently come under scrutiny. The question is often posted in terms of “epistemic double standards”, and whether the standards for transparency in AI ought to be higher than, or equivalent to, our standards for ordinary human reasoners. I agree that the push for increased transparency in AI deserves closer examination, and that comparing these standards to our standards of transparency for other opaque systems is an appropriate starting point. I suggest that a (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  6.  88
    How AI’s Self-Prolongation Influences People’s Perceptions of Its Autonomous Mind: The Case of U.S. Residents.Quan-Hoang Vuong, Viet-Phuong La, Minh-Hoang Nguyen, Ruining Jin, Minh-Khanh La & Tam-Tri Le - 2023 - Behavioral Sciences 13 (6):470.
    The expanding integration of artificial intelligence (AI) in various aspects of society makes the infosphere around us increasingly complex. Humanity already faces many obstacles trying to have a better understanding of our own minds, but now we have to continue finding ways to make sense of the minds of AI. The issue of AI’s capability to have independent thinking is of special attention. When dealing with such an unfamiliar concept, people may rely on existing human properties, such as survival desire, (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  7.  88
    Ethics of live uterus donor compensation.Ji-Young Lee - 2023 - Bioethics 37 (6):591-599.
    In this paper, I claim that live uterus donors ought to be considered for the possibility of compensation. I support my claim on the basis of comparable arguments which have already been applied to gamete donation, surrogacy, and other kinds of organ donation. However, I acknowledge that there are specificities associated with uterus donation, which make the issue of incentive and reward a harder ethical case relative to gamete donation, surrogacy, and other kinds of organ donation. Ultimately, I contend that (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  8. Ethical AI at work: the social contract for Artificial Intelligence and its implications for the workplace psychological contract.Sarah Bankins & Paul Formosa - 2021 - In Redefining the psychological contract in the digital era: issues for research and practice. Cham, Switzerland: pp. 55-72.
    Artificially intelligent (AI) technologies are increasingly being used in many workplaces. It is recognised that there are ethical dimensions to the ways in which organisations implement AI alongside, or substituting for, their human workforces. How will these technologically driven disruptions impact the employee–employer exchange? We provide one way to explore this question by drawing on scholarship linking Integrative Social Contracts Theory (ISCT) to the psychological contract (PC). Using ISCT, we show that the macrosocial contract’s ethical AI norms of beneficence, non-maleficence, (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  9. 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- (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  10. The Ji Self in Early Chinese Texts.Deborah A. Sommer - 2012 - In Jason Dockstader Hans-Georg Moller & Gunter Wohlfahrt (eds.), Selfhood East and West: De-Constructions of Identity. Traugott Bautz. pp. 17-45.
    The ji 己self is a site, storehouse, or depot of individuated allotment associated with the possession of things and qualities: wholesome and unwholesome desires (yu 欲) and aversions, emotions such as anxiety, and positive values such as humaneness and reverence. Each person's allotment is unique, and its "contents" are collected, measured, reflected on, and then distributed to others. The Analects, Mencius, Xunzi, Daodejing, and Zhuangzi each have their own vision for negotiating the space between self and other. Works as seemingly (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  11. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  12. 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.
    Download  
     
    Export citation  
     
    Bookmark   52 citations  
  13. Dialogical Answerability and Autonomy Ascription.Ji-Young Lee - 2022 - Hypatia 37 (1):97-110.
    Ascribing autonomous status to agents is a valuable practice. As such, we ought to care about how we engage in practices of autonomy ascription. However, disagreement between first-personal experiences of an agent's autonomy and third-personal determinations of their autonomy presents challenges of ethical and epistemic concern. My view is that insights from a dialogical rather than nondialogical account of autonomy give us the resources to combat the challenges associated with autonomy ascription. I draw on Andrea Westlund's account of dialogical autonomy—on (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  14. Partial Relationships and Epistemic Injustice.Ji-Young Lee - 2022 - Journal of Value Inquiry (3):1-14.
    In moral and political philosophy, topics like the distributive inequities conferred via special partial relationships – family relationships, for example – have been frequently debated. However, the epistemic dimensions of such partiality are seldom discussed in the ethical context, and the topic of partial relationships rarely feature in the realm of social epistemology. My view is that the role of partial relationships is worth exploring to enrich our understanding of epistemic injustice and its transmission. I claim that epistemic features typical (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  15. Yes Means Yes: Consent as Communication.Tom Dougherty - 2015 - Philosophy and Public Affairs 43 (3):224-253.
    Download  
     
    Export citation  
     
    Bookmark   46 citations  
  16. AI Wellbeing.Simon Goldstein & Cameron Domenico Kirk-Giannini - manuscript
    Under what conditions would an artificially intelligent system have wellbeing? Despite its obvious bearing on the ethics of human interactions with artificial systems, this question has received little attention. Because all major theories of wellbeing hold that an individual’s welfare level is partially determined by their mental life, we begin by considering whether artificial systems have mental states. We show that a wide range of theories of mental states, when combined with leading theories of wellbeing, predict that certain existing artificial (...)
    Download  
     
    Export citation  
     
    Bookmark  
  17. Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI’s Diffusion versus OpenAI’s Dall-E.James Brusseau - manuscript
    One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring ethics as an innovation accelerator. The critical elements develop from a contrast between Stability AI’s Diffusion and OpenAI’s Dall-E. By analyzing the divergent values underlying their opposed strategies for development and deployment, five conceptions are identified as common to acceleration ethics. Uncertainty is understood as positive and encouraging, rather than discouraging. Innovation is conceived as intrinsically valuable, instead of worthwhile only as mediated by social (...)
    Download  
     
    Export citation  
     
    Bookmark  
  18. Yes, Safety is in Danger.Tomas Bogardus & Chad Marxen - 2014 - Philosophia 42 (2):321-334.
    In an essay recently published in this journal (“Is Safety in Danger?”), Fernando Broncano-Berrocal defends the safety condition on knowledge from a counterexample proposed by Tomas Bogardus (Philosophy and Phenomenological Research, 2012). In this paper, we will define the safety condition, briefly explain the proposed counterexample, and outline Broncano-Berrocal’s defense of the safety condition. We will then raise four objections to Broncano-Berrocal’s defense, four implausible implications of his central claim. In the end, we conclude that Broncano-Berrocal’s defense of the safety (...)
    Download  
     
    Export citation  
     
    Bookmark   18 citations  
  19. Taking AI Risks Seriously: a New Assessment Model for the AI Act.Claudio Novelli, Casolari Federico, Antonino Rotolo, Mariarosaria Taddeo & Luciano Floridi - unknown - AI and Society 38 (3):1-5.
    The EU proposal for the Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and the AIA may not be enforced effectively. This problem is particularly challenging when it comes to regulating general-purpose AI (GPAI), which has versatile and often unpredictable applications. Recent amendments to the compromise text, though introducing context-specific assessments, remain insufficient. To address this, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  20. AI, Opacity, and Personal Autonomy.Bram Vaassen - 2022 - Philosophy and Technology 35 (4):1-20.
    Advancements in machine learning have fuelled the popularity of using AI decision algorithms in procedures such as bail hearings, medical diagnoses and recruitment. Academic articles, policy texts, and popularizing books alike warn that such algorithms tend to be opaque: they do not provide explanations for their outcomes. Building on a causal account of transparency and opacity as well as recent work on the value of causal explanation, I formulate a moral concern for opaque algorithms that is yet to receive a (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  21. Involuntary childlessness: Lessons from interactionist and ecological approaches to disability.Ji-Young Lee - 2023 - Bioethics 37 (5):462-469.
    Because many involuntarily childless people have equal interests in benefitting from assisted reproductive technologies like in vitro fertilization as a mode of treatment, we have normative reasons to ensure inclusive access to such interventions for as many of these people as is reasonable and possible. However, the prevailing eligibility criterion for access to assisted reproductive technologies—'infertility'—is inadequate to serve the goal of inclusive access. This is because the prevailing frameworks of infertility, which include medical and social infertility, fail to precisely (...)
    Download  
     
    Export citation  
     
    Bookmark  
  22. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   11 citations  
  23.  81
    Relational approaches to personal autonomy.Ji-Young Lee - 2023 - Philosophy Compass 18 (5):e12916.
    Individualistic traditions of autonomy have long been critiqued by feminists for their atomistic and asocial presentation of human agents. Relational approaches to autonomy were developed as an alternative to these views. Relational accounts generally capture a more socially informed picture of human agents, and aim to differentiate between social phenomena that are conducive to our agency versus those that pose a hindrance to our agency. In this article, I explore the various relational conceptualizations of autonomy profferred to date. I critically (...)
    Download  
     
    Export citation  
     
    Bookmark  
  24. The AI Ensoulment Hypothesis.Brian Cutter - forthcoming - Faith and Philosophy.
    According to the AI ensoulment hypothesis, some future AI systems will be endowed with immaterial souls. I argue that we should have at least a middling credence in the AI ensoulment hypothesis, conditional on our eventual creation of AGI and the truth of substance dualism in the human case. I offer two arguments. The first relies on an analogy between aliens and AI. The second rests on the conjecture that ensoulment occurs whenever a physical system is “fit to possess” a (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  25. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  26. Design, Yes; Intelligent, No.Massimo Pigliucci - 2001 - Philosophy Now 32:26-29.
    Were we designed by an intelligent creation? Not likely: living organisms are designed, yes, but not intelligently...
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  27. The AI-Stance: Crossing the Terra Incognita of Human-Machine Interactions?Anna Strasser & Michael Wilby - 2023 - In Raul Hakli, Pekka Mäkelä & Johanna Seibt (eds.), Social Robots in Social Institutions. Proceedings of Robophilosophy’22. Amsterdam: IOS Press. pp. 286-295.
    Although even very advanced artificial systems do not meet the demanding conditions which are required for humans to be a proper participant in a social interaction, we argue that not all human-machine interactions (HMIs) can appropriately be reduced to mere tool-use. By criticizing the far too demanding conditions of standard construals of intentional agency we suggest a minimal approach that ascribes minimal agency to some artificial systems resulting in the proposal of taking minimal joint actions as a case of a (...)
    Download  
     
    Export citation  
     
    Bookmark  
  28. Explainable AI lacks regulative reasons: why AI and human decision‑making are not equally opaque.Uwe Peters - forthcoming - AI and Ethics.
    Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  29. AI & democracy, and the importance of asking the right questions.Ognjen Arandjelović - 2021 - AI Ethics Journal 2 (1):2.
    Democracy is widely praised as a great achievement of humanity. However, in recent years there has been an increasing amount of concern that its functioning across the world may be eroding. In response, efforts to combat such change are emerging. Considering the pervasiveness of technology and its increasing capabilities, it is no surprise that there has been much focus on the use of artificial intelligence (AI) to this end. Questions as to how AI can be best utilized to extend the (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  30.  17
    Can AI Abstract the Architecture of Mathematics?Posina Rayudu - manuscript
    The irrational exuberance associated with contemporary artificial intelligence (AI) reminds me of Charles Dickens: "it was the age of foolishness, it was the epoch of belief" (cf. Editorial, 2016; to get a feel for the vanity fair that is AI, see Mitchell and Krakauer, 2023; Stilgoe, 2023). It is particularly distressing—feels like yet another rerun of Seinfeld, which is all about nothing (pun intended); we have seen it in the 60s and again in the 90s. AI might have had an (...)
    Download  
     
    Export citation  
     
    Bookmark  
  31. When AI meets PC: exploring the implications of workplace social robots and a human-robot psychological contract.Sarah Bankins & Paul Formosa - 2019 - European Journal of Work and Organizational Psychology 2019.
    The psychological contract refers to the implicit and subjective beliefs regarding a reciprocal exchange agreement, predominantly examined between employees and employers. While contemporary contract research is investigating a wider range of exchanges employees may hold, such as with team members and clients, it remains silent on a rapidly emerging form of workplace relationship: employees’ increasing engagement with technically, socially, and emotionally sophisticated forms of artificially intelligent (AI) technologies. In this paper we examine social robots (also termed humanoid robots) as likely (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  32. Can AI Help Us to Understand Belief? Sources, Advances, Limits, and Future Directions.Andrea Vestrucci, Sara Lumbreras & Lluis Oviedo - 2021 - International Journal of Interactive Multimedia and Artificial Intelligence 7 (1):24-33.
    The study of belief is expanding and involves a growing set of disciplines and research areas. These research programs attempt to shed light on the process of believing, understood as a central human cognitive function. Computational systems and, in particular, what we commonly understand as Artificial Intelligence (AI), can provide some insights on how beliefs work as either a linear process or as a complex system. However, the computational approach has undergone some scrutiny, in particular about the differences between what (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  33. Why AI Doomsayers are Like Sceptical Theists and Why it Matters.John Danaher - 2015 - Minds and Machines 25 (3):231-246.
    An advanced artificial intelligence could pose a significant existential risk to humanity. Several research institutes have been set-up to address those risks. And there is an increasing number of academic publications analysing and evaluating their seriousness. Nick Bostrom’s superintelligence: paths, dangers, strategies represents the apotheosis of this trend. In this article, I argue that in defending the credibility of AI risk, Bostrom makes an epistemic move that is analogous to one made by so-called sceptical theists in the debate about the (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  34. Designing AI with Rights, Consciousness, Self-Respect, and Freedom.Eric Schwitzgebel & Mara Garza - 2020 - In Ethics of Artificial Intelligence. New York, NY, USA: pp. 459-479.
    We propose four policies of ethical design of human-grade Artificial Intelligence. Two of our policies are precautionary. Given substantial uncertainty both about ethical theory and about the conditions under which AI would have conscious experiences, we should be cautious in our handling of cases where different moral theories or different theories of consciousness would produce very different ethical recommendations. Two of our policies concern respect and freedom. If we design AI that deserves moral consideration equivalent to that of human beings, (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  35. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  36. AI Worship as a New Form of Religion.Neil McArthur - manuscript
    We are about to see the emergence of religions devoted to the worship of Artificial Intelligence (AI). Such religions pose acute risks, both to their followers and to the public. We should require their creators, and governments, to acknowledge these risks and to manage them as best they can. However, these new religions cannot be stopped altogether, nor should we try to stop them if we could. We must accept that AI worship will become part of our culture, and we (...)
    Download  
     
    Export citation  
     
    Bookmark  
  37. Certifiable AI.Jobst Landgrebe - 2022 - Applied Sciences 12 (3):1050.
    Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...)
    Download  
     
    Export citation  
     
    Bookmark  
  38. Yes, She Was!: Reply to Ford’s “Helen Keller Was Never in a Chinese Room”.William J. Rapaport - 2011 - Minds and Machines 21 (1):3-17.
    Ford’s Helen Keller Was Never in a Chinese Room claims that my argument in How Helen Keller Used Syntactic Semantics to Escape from a Chinese Room fails because Searle and I use the terms ‘syntax’ and ‘semantics’ differently, hence are at cross purposes. Ford has misunderstood me; this reply clarifies my theory.
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  39. Medical AI and human dignity: Contrasting perceptions of human and artificially intelligent (AI) decision making in diagnostic and medical resource allocation contexts.Paul Formosa, Wendy Rogers, Yannick Griep, Sarah Bankins & Deborah Richards - 2022 - Computers in Human Behaviour 133.
    Forms of Artificial Intelligence (AI) are already being deployed into clinical settings and research into its future healthcare uses is accelerating. Despite this trajectory, more research is needed regarding the impacts on patients of increasing AI decision making. In particular, the impersonal nature of AI means that its deployment in highly sensitive contexts-of-use, such as in healthcare, raises issues associated with patients’ perceptions of (un) dignified treatment. We explore this issue through an experimental vignette study comparing individuals’ perceptions of being (...)
    Download  
     
    Export citation  
     
    Bookmark  
  40. AI Extenders and the Ethics of Mental Health.Karina Vold & Jose Hernandez-Orallo - forthcoming - In Marcello Ienca & Fabrice Jotterand (eds.), Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues. Springer International Publishing.
    The extended mind thesis maintains that the functional contributions of tools and artefacts can become so essential for our cognition that they can be constitutive parts of our minds. In other words, our tools can be on a par with our brains: our minds and cognitive processes can literally ‘extend’ into the tools. Several extended mind theorists have argued that this ‘extended’ view of the mind offers unique insights into how we understand, assess, and treat certain cognitive conditions. In this (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  41. AI-Completeness: Using Deep Learning to Eliminate the Human Factor.Kristina Šekrst - 2020 - In Sandro Skansi (ed.), Guide to Deep Learning Basics. Springer. pp. 117-130.
    Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...)
    Download  
     
    Export citation  
     
    Bookmark  
  42. Will AI take away your job? [REVIEW]Marie Oldfield - 2020 - Tech Magazine.
    Will AI take away your job? The answer is probably not. AI systems can be good predictive systems and be very good at pattern recognition. AI systems have a very repetitive approach to sets of data, which can be useful in certain circumstances. However, AI does make obvious mistakes. This is because AI does not have a sense of context. As Humans we have years of experience in the real world. We have vast amounts of contextual data stored in our (...)
    Download  
     
    Export citation  
     
    Bookmark  
  43. Medical AI, Inductive Risk, and the Communication of Uncertainty: The Case of Disorders of Consciousness.Jonathan Birch - manuscript
    Some patients, following brain injury, do not outwardly respond to spoken commands, yet show patterns of brain activity that indicate responsiveness. This is “cognitive-motor dissociation” (CMD). Recent research has used machine learning to diagnose CMD from electroencephalogram (EEG) recordings. These techniques have high false discovery rates, raising a serious problem of inductive risk. It is no solution to communicate the false discovery rates directly to the patient’s family, because this information may confuse, alarm and mislead. Instead, we need a procedure (...)
    Download  
     
    Export citation  
     
    Bookmark  
  44. Classical AI linguistic understanding and the insoluble Cartesian problem.Rodrigo González - 2020 - AI and Society 35 (2):441-450.
    This paper examines an insoluble Cartesian problem for classical AI, namely, how linguistic understanding involves knowledge and awareness of u’s meaning, a cognitive process that is irreducible to algorithms. As analyzed, Descartes’ view about reason and intelligence has paradoxically encouraged certain classical AI researchers to suppose that linguistic understanding suffices for machine intelligence. Several advocates of the Turing Test, for example, assume that linguistic understanding only comprises computational processes which can be recursively decomposed into algorithmic mechanisms. Against this background, in (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  45.  52
    Making AI Intelligible: Philosophical Foundations. By Herman Cappelen and Josh Dever. [REVIEW]Nikhil Mahant - forthcoming - Philosophical Quarterly.
    Linguistic outputs generated by modern machine-learning neural net AI systems seem to have the same contents—i.e., meaning, semantic value, etc.—as the corresponding human-generated utterances and texts. Building upon this essential premise, Herman Cappelen and Josh Dever's Making AI Intelligible sets for itself the task of addressing the question of how AI-generated outputs have the contents that they seem to have (henceforth, ‘the question of AI Content’). In pursuing this ambitious task, the book makes several high-level, framework observations about how a (...)
    Download  
     
    Export citation  
     
    Bookmark  
  46. AI and Structural Injustice: Foundations for Equity, Values, and Responsibility.Johannes Himmelreich & Désirée Lim - forthcoming - In Justin B. Bullock, Yu-Che Chen, Johannes Himmelreich, Valerie M. Hudson, Anton Korinek, Matthew M. Young & Baobao Zhang (eds.), Oxford Handbook of AI Governance. Oxford University Press.
    This chapter argues for a structural injustice approach to the governance of AI. Structural injustice has an analytical and an evaluative component. The analytical component consists of structural explanations that are well-known in the social sciences. The evaluative component is a theory of justice. Structural injustice is a powerful conceptual tool that allows researchers and practitioners to identify, articulate, and perhaps even anticipate, AI biases. The chapter begins with an example of racial bias in AI that arises from structural injustice. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  47. AI Methods in Bioethics.Joshua August Skorburg, Walter Sinnott-Armstrong & Vincent Conitzer - 2020 - American Journal of Bioethics: Empirical Bioethics 1 (11):37-39.
    Commentary about the role of AI in bioethics for the 10th anniversary issue of AJOB: Empirical Bioethics.
    Download  
     
    Export citation  
     
    Bookmark  
  48. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  49.  50
    Medical AI: Is Trust Really the Issue?Jakob Thrane Mainz - forthcoming - Journal of Medical Ethics.
    I discuss an influential argument put forward by Joshua Hatherley. Drawing on influential philosophical accounts of inter-personal trust, Hatherley claims that medical Artificial Intelligence is capable of being reliable, but not trustworthy. Furthermore, Hatherley argues that trust generates moral obligations on behalf of the trustee. For instance, when a patient trusts a clinician, it generates certain moral obligations on behalf of the clinician for her to do what she is entrusted to do. I make three objections to Hatherley’s claims: (1) (...)
    Download  
     
    Export citation  
     
    Bookmark  
  50. AI, alignment, and the categorical imperative.Fritz McDonald - 2023 - AI and Ethics 3:337-344.
    Tae Wan Kim, John Hooker, and Thomas Donaldson make an attempt, in recent articles, to solve the alignment problem. As they define the alignment problem, it is the issue of how to give AI systems moral intelligence. They contend that one might program machines with a version of Kantian ethics cast in deontic modal logic. On their view, machines can be aligned with human values if such machines obey principles of universalization and autonomy, as well as a deontic utilitarian principle. (...)
    Download  
     
    Export citation  
     
    Bookmark  
1 — 50 / 1000