Affirmative safety: An approach to risk management for high-risk AI

Understand

Prominent AI experts have suggested that companies developing high-risk AI systems should be required to show that such systems are safe before they can be developed or deployed.

• The goal of this paper is to expand on this idea and explore its implications for risk management.
• We argue that entities developing or deploying high-risk AI systems should be required to present evidence of affirmative safety: a proactive case that their activities keep risks below acceptable thresholds.
• We begin the paper by highlighting global security risks from AI that have been acknowledged by AI experts and world governments.