Parkes, David C.

Machine behaviour

Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019) · Nature

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1,364

Multi-Agent Risks from Advanced AI

Hammond, L., Chan, A., Clifton, J., Hoelscher-Obermaier, J., Khan, A., McLean, E., Smith, C., Barfuss, W., Foerster, J., Gavenčiak, T., et al. (2025) · arXiv

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 305

Artificial Intelligence for Social Good

Hager, G. D., Drobnis, A., Fang, F., Ghani, R., Greenwald, A., Lyons, T., Parkes, D. C., Schultz, J., Saria, S., Smith, S. F., et al. (2019) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 108

The AI economist: taxation policy design via two-level deep multiagent reinforcement learning

Zheng, S., Trott, A., Srinivasa, S., Parkes, D. C., & Socher, R. (2022) · Science Advances

Reinforcement Learning in RoboticsEconomic and Fiscal Studies

Cited by 105

Finding Friend and Foe in Multi-Agent Games

Serrino, J., Kleiman-Weiner, M., Parkes, D. C., & Tenenbaum, J. B. (2019) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 33

Predictive Multiplicity in Probabilistic Classification

Watson-Daniels, J., Parkes, D. C., & Ustun, B. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 27

Practical Peer Prediction for Peer Assessment

Shnayder, V., & Parkes, D. (2016) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Mobile Crowdsensing and CrowdsourcingOnline Learning and Analytics

Cited by 17

The Political Economy of Blockchain Governance

Lee, B. E., Moroz, D. J., & Parkes, D. C. (2020) · SSRN Electronic Journal

Blockchain Technology Applications and SecurityGame Theory and Voting Systems

Cited by 16

Experimental Evidence That Conversational Artificial Intelligence Can Steer Consumer Behavior Without Detection

Werner, T., Soraperra, I., Calvano, E., Parkes, D. C., & Rahwan, I. (2024) · arXiv

AI in Service InteractionsEthics and Social Impacts of AI

Cited by 1