A Social Outcomes and Priorities centered (SOP) Framework for AI policy

TL;DR

This paper proposes a society-centered SOP framework for AI policy to replace fragmented, reactive approaches, aiming for equitable societal benefits and effective risk management globally.

Contribution

It introduces a comprehensive, forward-looking SOP framework for AI policy, emphasizing social outcomes and priorities, with implementation proposals and global applicability.

Findings

Framework promotes equitable AI benefits

Addresses fragmentation in current policies

Provides implementation strategies for society-centered AI policies

Abstract

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.