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

Mohak Shah

TL;DR

A Social Outcomes and Priorities centered (SOP) framework for AI policy along with proposals on implementation of its various components are presented and the takeaways are general and applicable globally.

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.

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

TL;DR

A Social Outcomes and Priorities centered (SOP) framework for AI policy along with proposals on implementation of its various components are presented and the takeaways are general and applicable globally.

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.

Paper Structure

This paper contains 23 sections, 3 figures.

Table of Contents

  1. Introduction
  2. Current AI policy approaches
  3. A fragmented piecemeal approach
  4. Constituents of a Comprehensive AI Policy framework
  5. Maintaining and Reinforcing the Social foundations, Institutions, and Democratic values
  6. Ethics and Alignment
  7. Systemic effects and just outcomes
  8. AI Robustness and Reliability
  9. Accountability and Mitigation Framework
  10. Future readiness - R&D and Innovation strategy
  11. Addressing Externalities
  12. Addressing Adjacencies: Related and concurrent technologies
  13. National and Corporate security
  14. Up-to-date Legal framework
  15. Unbiased basis and platform to inform policy
  16. ...and 8 more sections

Figures (3)

  • Figure 1: AI Risks increase with increasing range of AI's influence
  • Figure 2: Transforming approach to AI policy: From fragmented efforts to a systematic framework
  • Figure 3: Components of an SOP framework for AI Policy