A Social Outcomes and Priorities centered (SOP) Framework for AI policy
This addresses the need for coherent AI policy to ensure societal benefits, though it is incremental as it builds on existing policy discussions.
The paper tackles the problem of fragmented and ineffective AI policy by proposing a Social Outcomes and Priorities centered (SOP) framework to shift from a technology-centered to a society-centered approach, aiming for comprehensive and equitable AI governance.
Rapid developments in AI and its adoption across various domains have necessitated a need to build robust guardrails and risk containment plans while ensuring equitable benefits for the betterment of society. The current technology-centered approach has resulted in a fragmented, reactive, and ineffective policy apparatus. This paper highlights the immediate and urgent need to pivot to a society-centered approach to develop comprehensive, coherent, forward-looking AI policy. To this end, we present a Social Outcomes and Priorities centered (SOP) framework for AI policy along with proposals on implementation of its various components. While the SOP framework is presented from a US-centric view, the takeaways are general and applicable globally.