David Danks

David Danks

Carnegie Mellon University

H-index: 30

North America-United States

About David Danks

David Danks, With an exceptional h-index of 30 and a recent h-index of 24 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Philosophy of science, Cognitive science, Ethics & AI, Causal discovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bias Mitigation via Compensation: A Reinforcement Learning Perspective

Tackling AI Hyping

Governing Ethical Gaps in Distributed AI Development

Application of the NIST AI Risk Management Framework to Surveillance Technology

Psychological freedom, rationality, and the naive theory of reasoning.

Environmental epistemology

Commercial AI, Conflict, and Moral Responsibility: A theoretical analysis and practical approach to the moral responsibilities associated with dual-use AI technology

Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation

David Danks Information

University

Position

L. L. Thurstone Professor of Philosophy & Psychology

Citations(all)

4942

Citations(since 2020)

2402

Cited By

3258

hIndex(all)

30

hIndex(since 2020)

24

i10Index(all)

58

i10Index(since 2020)

38

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

David Danks Skills & Research Interests

Philosophy of science

Cognitive science

Ethics & AI

Causal discovery

Top articles of David Danks

Title

Journal

Author(s)

Publication Date

Bias Mitigation via Compensation: A Reinforcement Learning Perspective

arXiv preprint arXiv:2404.19256

Nandhini Swaminathan

David Danks

2024/4/30

Tackling AI Hyping

AI and Ethics

Mona Sloane

David Danks

Emanuel Moss

2024/4/24

Governing Ethical Gaps in Distributed AI Development

Digital Society

Nandhini Swaminathan

David Danks

2024/4

Application of the NIST AI Risk Management Framework to Surveillance Technology

arXiv preprint arXiv:2403.15646

Nandhini Swaminathan

David Danks

2024/3/22

Psychological freedom, rationality, and the naive theory of reasoning.

Journal of Experimental Psychology: General

Corey Cusimano

Natalia Zorrilla

David Danks

Tania Lombrozo

2024

Environmental epistemology

Synthese

Dallas Amico-Korby

Maralee Harrell

David Danks

2024/2/26

Commercial AI, Conflict, and Moral Responsibility: A theoretical analysis and practical approach to the moral responsibilities associated with dual-use AI technology

arXiv preprint arXiv:2402.01762

Daniel Trusilo

David Danks

2024/1/30

Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation

arXiv preprint arXiv:2402.01705

Jennifer Chien

David Danks

2024/1/25

Dynamic certification for autonomous systems

Communications of the ACM

Georgios Bakirtzis

Steven Carr

David Danks

Ufuk Topcu

2023/8/23

Causal learning through deliberate undersampling

Kseniya Solovyeva

David Danks

Mohammadsajad Abavisani

Sergey Plis

2023/8/10

Pragmatism and the Challenge of Scientific (Dis) unification

The Pragmatist Challenge: Pragmatist Metaphysics for Philosophy of Science

David Danks

2023/5/18

Ethical and methodological challenges in building morally informed AI systems

AI and Ethics

Thilo Hagendorff

David Danks

2023/5

Artificial intelligence and humanitarian obligations

Ethics and Information Technology

Daniel Trusilo

David Danks

2023/3

Preoperative identification of patient-dependent blood pressure targets associated with low risk of intraoperative hypotension during noncardiac surgery

Anesthesia & Analgesia

Michael P Schnetz

David J Danks

Aman Mahajan

2023/2/1

Expectations of Determinism Underlie Domain Effects on Adult Causal Learning

Proceedings of the Annual Meeting of the Cognitive Science Society

Phuong Phoebe Ngoc Dinh

David Danks

2023

The Ambiguity of Robot Rights

Anisha Bontula

David Danks

Naomi T Fitter

2023/12/3

Fairness Vs. Personalization: Towards Equity in Epistemic Utility

arXiv preprint arXiv:2309.11503

Jennifer Chien

David Danks

2023/9/5

Causal inference in cognitive neuroscience

David Danks

Isaac Davis

2023/9

Constraint-based causal structure learning from undersampled graphs

arXiv preprint arXiv:2205.09235

Mohammadsajad Abavisani

David Danks

Vince Calhoun

Sergey Plis

2022/5/18

National Artificial Intelligence Advisory Committee

Miriam Vogel

Yll Bajraktari

Amanda Ballantyne

Sayan Chakraborty

Jack Clark

...

2022/5/4

See List of Professors in David Danks University(Carnegie Mellon University)

Co-Authors

H-index: 146
Vince D. Calhoun

Vince D. Calhoun

Georgia State University

H-index: 92
Alison GOPNIK

Alison GOPNIK

University of California, Berkeley

H-index: 64
Hiroshi Ishikawa

Hiroshi Ishikawa

New York University

H-index: 51
Peter Spirtes

Peter Spirtes

Carnegie Mellon University

H-index: 40
David Sobel

David Sobel

Brown University

H-index: 38
Alex John London

Alex John London

Carnegie Mellon University

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