T he biggest governance dilemma in AI is setting guidelines for the technology’s ethical use without unduly weakening the incentive to innovate. So far, countries and regions have largely failed to strike any kind of balance, instead tipping the scales one way or the other while loftily proclaiming reverence for both. The concept of responsible AI (RAI) exemplifies this idealistic rhetoric. The principles it espouses – from ensuring that algorithms are not based on faulty datasets to preventing privacy and human-rights violations – are undoubtedly worthy. Where RAI falls short is in showing how these ideals should be incorporated into AI governance, and how to balance regulation with incentives for continued innovation.

Nonetheless, RAI has been embraced by many governments, which have i

See Full Page