Items where Subject is "Specific Sciences > Artificial Intelligence > AI and Ethics"
Group by: Creators | Item Type Number of items at this level: 31. AAlvarado, Ramón (2022) AI as an Epistemic Technology. [Preprint] BBabic, Boris and Gerke, Sara and Evgeniou, Theodoros and Cohen, Glenn (2019) Algorithms on Regulatory Lockdown in Medicine. Science. Browning, Heather and Veit, Walter (2022) Longtermism and Animals. [Preprint] CCirkovic, Milan M. (2020) Anthropocentrism and the roots of resistance to both human bioenhancement and space colonization. [Preprint] FFleisher, Will (2021) What's Fair about Individual Fairness. [Preprint] GGerke, Sara and Babic, Boris and Evgeniou, Theodoros and Cohen, Glenn (2020) The need for a system view to regulate artificial intelligence/machine learning-based software as medical device. Nature Digital Medicine. Graves, Mark and Ratti, Emanuele (2022) Who Is a Good Data Scientist? A Reply to Curzer and Epstein. Philosophy & Technology, 35. HHeesen, Remco and Romeijn, Jan-Willem (2022) Measurement Invariance, Selection Invariance, and Fair Selection Revisited. Psychological Methods. ISSN 1082-989X JJebari, Karim and Lundborg, Joakim (2019) Artificial superintelligence and its limits: why AlphaZero cannot become a general agent. [Preprint] Johnson, Gabbrielle (2020) Algorithmic Bias: On the Implicit Biases of Social Technology. [Preprint] KKasirzadeh, Atoosa and Klein, Colin (2021) The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. Kasirzadeh, Atoosa and Smart, Andrew (2021) The Use and Misuse of Counterfactuals in Ethical Machine Learning. FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. LLaCroix, Travis (2022) The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial. [Preprint] LaCroix, Travis (2022) Moral Dilemmas for Moral Machines. [Preprint] List, Christian (2021) Group Agency and Artificial Intelligence. Philosophy & Technology, Online. MMiller, Ryan (2023) Holding Large Language Models to Account. Proceedings of the AISB Convention 2023. pp. 7-14. Mizrahi, Moti (2020) How to Play the “Playing God” Card. [Preprint] PPeters, Uwe (2022) Algorithmic political bias in artificial intelligence systems. [Preprint] Pruss, Dasha (2021) Mechanical Jurisprudence and Domain Distortion: How Predictive Algorithms Warp the Law. [Preprint] RRatti, Emanuele and Bezuidenhout, Louise (2020) What does it mean to embed ethics in data science? An integrative approach based on microethics and virtues. AI & Society. Ratti, Emanuele and Graves, Mark (2021) Cultivating Moral Attention: A Virtue-oriented Approach to Responsible Data Science in Healthcare. Philosophy & Technology. Ratti, Emanuele and Graves, Mark (2022) Explainable machine learning practices: opening another black box for reliable medical AI. AI and Ethics. Russo, Federica and Schliesser, Eric and Wagemans, Jean H.M. (2022) Connecting ethics and epistemology of AI. [Preprint] Räz, Tim (2022) Understanding risk with FOTRES? AI and Ethics. SSullivan, Emily (2022) How Values Shape the Machine Learning Opacity Problem. Scientific Understanding and Representation (Eds) Insa Lawler, Kareem Khalifa & Elay Shech. pp. 306-322. Sullivan, Emily (2022) Inductive Risk, Understanding, and Opaque Machine Learning Models. [Preprint] Symons, John and Alvarado, Ramón (2022) EPISTEMIC INJUSTICE AND DATA SCIENCE TECHNOLOGIES. [Preprint] VVeit, Walter and Browning, Heather (2023) Defending Sentientism. [Preprint] WWeinberger, Naftali (2022) Path-Specific Discrimination. [Preprint] ZZerilli, John (2020) Algorithmic Sentencing: Drawing Lessons from Human Factors Research. [Preprint] |