When Should Algorithms Resign? A Proposal for AI Governance

TL;DR

This paper proposes a novel AI governance approach called algorithmic resignation, which involves strategically disengaging from AI systems in specific scenarios to improve control and oversight.

Contribution

It introduces the concept of algorithmic resignation as an embedded governance mechanism for AI systems, enhancing control over AI deployment and use.

Findings

Defines the concept of algorithmic resignation in AI governance

Suggests practical methods like restricting outputs and disclaimers

Highlights potential for improved AI oversight and safety

Abstract

Algorithmic resignation is a strategic approach for managing the use of artificial intelligence (AI) by embedding governance directly into AI systems. It involves deliberate and informed disengagement from AI, such as restricting access AI outputs or displaying performance disclaimers, in specific scenarios to aid the appropriate and effective use of AI. By integrating algorithmic resignation as a governance mechanism, organizations can better control when and how AI is used, balancing the benefits of automation with the need for human oversight.