Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning Under Legal Uncertainty
It is argued that legal uncertainty cannot be fully reduced ex ante and that, within reasonable bounds, it is also necessary for regulatory learning because it creates the space in which boundary negotiation over socio-technical meaning can occur.
Tom Deckenbrunnen, Alessio Buscemi, M. Almada et al.
· Proceedings of the AAAI/ACM... · 4 citations