Year: 2016
Type: preprint
Abstract: We argue that there already exists de facto artificial intelligence policy - a patchwork of policies impacting the field of AI's development in myriad ways. The key question related to AI policy, then, is not whether AI should be governed at all, but how it is currently being governed, and how that governance might become more informed, integrated, effective, and anticipatory. We describe the main components of de facto AI policy and make some recommendations for how AI policy can be improved, drawing on lessons from other scientific and technological domains.
Source: arXiv (Cornell University)
Authors: Brundage, Miles, Bryson, Joanna
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2507316996