Grant / January 2020

Crafting Public Policy for Reinforcement Learning Applications

A team of graduate students, Graduates for Engaged and Extended Scholarship around computing and Engineering (GEESE), will build on their prior CLTC-funded project and develop suggested interventions in the design, training, and deployment of reinforcement learning (RL) systems that can be integrated into social infrastructure. These deliverables will include a preliminary survey paper that specifies a landscape of possible medium-term outcomes, a purposeful convening of RL experts and policymakers to identify shared concerns, and a final research paper that proposes regulatory policies to ensure system accountability and sociotechnical safety. Throughout, GEESE will leverage its extensive experience facilitating cross-disciplinary discussion to integrate the perspectives of developers, policy makers, and the existential risk community around the medium-term trajectory of RL.