The question of AI governance and regulation is centered on the regulator ecosystem for AI: which tools in the regulatory toolbox ensure the optimal trade-offs between AI innovation and safety, for example. Overly-prescriptive regulation stifles innovation, and can rapidly become obsolete. Too much reliance on self-regulation results in under-protection of important public values and fundamental rights. There may be tension between sector-specific regulation (e.g. regulation on medical devices) and horizontal AI regulation. There may be a tendency to adopt new AI-specific rules when reliance on existing laws is sufficient. Internal governance frameworks within corporations can contribute to AI ethics, but need to be backed up by effective external enforcement.
These questions will form the core of the governance and regulation module of Operational AI Ethics.