Choices, Risks, and Reward Reports

Reinforcement learning could be the most promising path to artificial general intelligence. But Tom Zick and a team of other researchers urge caution in a new report.

"Rather than allowing RL systems to unilaterally reshape human domains, policymakers need new mechanisms for the rule of reason, foreseeability, and interoperability that match the risks these systems pose."

Read the white paper.