PhilSci Archive

Items where Subject is "Specific Sciences > Artificial Intelligence > AI and Ethics"

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Number of items at this level: 21.

B

Babic, Boris and Gerke, Sara and Evgeniou, Theodoros and Cohen, Glenn (2019) Algorithms on Regulatory Lockdown in Medicine. Science.

C

Cirkovic, Milan M. (2020) Anthropocentrism and the roots of resistance to both human bioenhancement and space colonization. [Preprint]

F

Fleisher, Will (2021) What's Fair about Individual Fairness. [Preprint]

G

Gerke, 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.

J

Jebari, 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]

K

Kasirzadeh, 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.

L

LaCroix, Travis (2022) Moral Dilemmas for Moral Machines. [Preprint]

List, Christian (2021) Group Agency and Artificial Intelligence. Philosophy & Technology, Online.

M

Mizrahi, Moti (2020) How to Play the “Playing God” Card. [Preprint]

P

Peters, 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]

R

Rabinowitz, Avi (2021) A Brain’s Self-identification as "Materialist" or “Non-Materialist” (dualist, panpsyschist, idealist etc) as an unwitting indication of its deep structure/wiring category rather than a statement of its philosophical stance. A survey associated with the article will identify relevant candidates for a brain- experiment. [Preprint]

Ratti, 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. Connecting ethics and epistemology of AI. UNSPECIFIED.

S

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]

Z

Zerilli, John (2020) Algorithmic Sentencing: Drawing Lessons from Human Factors Research. [Preprint]

This list was generated on Wed May 18 00:10:34 2022 EDT.