Danks, David

Algorithmic Bias in Autonomous Systems

Danks, D., & London, A. J. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 472

Governing AI safety through independent audits

Falco, G., Shneiderman, B., Badger, J., Carrier, R., Dahbura, A., Danks, D., Eling, M., Goodloe, A., Gupta, J., Hart, C., et al. (2021) · Nature Machine Intelligence

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 250

Unifying the Mind: Cognitive Representations as Graphical Models

Danks, D. (2014) · The MIT Press eBooks

Bayesian Modeling and Causal InferenceCognitive Science and Education Research

Cited by 96

Regulating Autonomous Systems: Beyond Standards

Danks, D., & London, A. J. (2017) · IEEE Intelligent Systems

Digitalization, Law, and RegulationSafety Systems Engineering in Autonomy

Cited by 61

Ethical and methodological challenges in building morally informed AI systems

Hagendorff, T., & Danks, D. (2023) · AI and Ethics

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 36

Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation

Chien, J., & Danks, D. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 22

Tackling AI Hyping

Sloane, M., Danks, D., & Moss, E. (2024) · AI and Ethics

Ethics and Social Impacts of AIDigital Education and Society

Cited by 15