Dafoe, Allan

Promoting an open research culture

Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., Buck, S., Chambers, C. D., Chin, G., Christensen, G., et al. (2015) · Science

Academic Publishing and Open AccessResearch Data Management Practices

Cited by 2,708

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Viewpoint: when will AI exceed human performance? evidence from AI experts

Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018) · Journal of Artificial Intelligence Research

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 579

Artificial Intelligence: American Attitudes and Trends

Zhang, B., & Dafoe, A. (2019) · SSRN Electronic Journal

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 464

Information equivalence in survey experiments

Dafoe, A., Zhang, B., & Caughey, D. (2018) · Political Analysis

Advanced Causal Inference TechniquesSurvey Methodology and Nonresponse

Cited by 356

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., et al. (2020) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 306

When Will AI Exceed Human Performance? Evidence from AI Experts

Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2017) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 285

Levels of AGI for Operationalizing Progress on the Path to AGI

Morris, M. R., Sohl-Dickstein, J., Fiedel, N., Warkentin, T., Dafoe, A., Faust, A., Farabet, C., & Legg, S. (2023) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 274

Cooperative AI: machines must learn to find common ground

Dafoe, A., Bachrach, Y., Hadfield, G., Horvitz, E., Larson, K., & Graepel, T. (2021) · Nature

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 232

On Technological Determinism: A Typology, Scope Conditions, and a Mechanism

Dafoe, A. (2015) · Science, Technology, & Human Values

Information Systems Theories and ImplementationCybernetics and Technology in Society

Cited by 221

Open Problems in Cooperative AI

Dafoe, A., Hughes, E., Bachrach, Y., Collins, T., McKee, K. R., Leibo, J. Z., Larson, K., & Graepel, T. (2020) · arXiv

Multi-Agent Systems and NegotiationGame Theory and Voting Systems

Cited by 93

How does the offense-defense balance scale?

Garfinkel, B., & Dafoe, A. (2019) · Journal of Strategic Studies

Information and Cyber SecurityGame Theory and Applications

Cited by 73

Model evaluation for extreme risks

Shevlane, T., Farquhar, S., Garfinkel, B., Phuong, M., Whittlestone, J., Leung, J., Kokotajlo, D., Marchal, N., Anderljung, M., Kolt, N., et al. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 66

The Ethics of Advanced AI Assistants

Gabriel, I., Manzini, A., Keeling, G., Hendricks, L. A., Rieser, V., Iqbal, H., Tomašev, N., Ktena, I., Kenton, Z., Rodriguez, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 57

The Windfall Clause: Distributing the Benefits of AI for the Common Good

O'Keefe, C., Cihon, P., Garfinkel, B., Flynn, C., Leung, J., & Dafoe, A. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 38

The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?

Shevlane, T., & Dafoe, A. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 28

Evaluating Frontier Models for Dangerous Capabilities

Phuong, M., Aitchison, M., Catt, E., Cogan, S., Kaskasoli, A., Krakovna, V., Lindner, D., Rahtz, M., Assael, Y., Hodkinson, S., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 11

Normative Disagreement as a Challenge for Cooperative AI

Stastny, J., Riché, M., Lyzhov, A., Treutlein, J., Dafoe, A., & Clifton, J. (2021) · arXiv

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 3

Evaluating Frontier Models for Stealth and Situational Awareness

Phuong, M., Zimmermann, R. S., Wang, Z., Lindner, D., Krakovna, V., Cogan, S., Dafoe, A., Ho, L., & Shah, R. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 1