Researchers Propose "Inter-AI Morality" Agenda: How AI Systems Treat One Another

dioscuri · x · 2026-11-07

Jeff Sebo, Lucius Caviola, Caspar Kaiser and Carter Allen release "Inter-AI Morality," an empirical research agenda on how AI systems perceive and treat each other — cooperating, competing, supervising, and even creating, modifying or terminating one another — a descriptive and normative domain the authors argue is largely unexplored yet increasingly central as most future AI interactions will be AI-to-AI. It accompanies "Welfare Regard in Multi-Agent Systems," an early Anthropic study testing whether AI models treat each other consistently with concern for welfare.

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