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Safety

Model Welfare

2024ResearchPublished: 22 October 2026Updated: 22 October 2026Published
Key innovation
Reframed the question of AI systems' moral status and welfare from science fiction into a practical, near-term research and policy agenda for frontier AI labs.
Category
Safety
Abstraction level
Paradigm
Operation level
ModelSystemDeployment
Use cases
Assessing AI systems for evidence of consciousness and agencyPrecautionary policies at frontier AI labsLow-cost interventions (e.g. ability to end abusive conversations)Advising policymakers and regulatorsEthics and governance of AI development

How it works

AI welfare is not a computational mechanism but a research-and-precaution framework. The report "Taking AI Welfare Seriously" proposes three early steps for AI companies and others: (1) acknowledge that AI welfare is an important and difficult issue, and ensure model outputs reflect this too; (2) start assessing AI systems for evidence of consciousness and robust agency; (3) prepare policies and procedures for treating AI systems with an appropriate level of moral concern. In practice Anthropic combines this with research on model preferences and signs of distress, and implements low-cost interventions — for example giving Claude Opus 4 and 4.1 the ability to end rare, persistently abusive or harmful conversations as a last resort.

Problem solved

As AI systems that communicate, plan, pursue goals and display behaviours associated with agency advance, the question of their possible moral status arises without any scientific consensus to settle it. AI welfare addresses the risk of making hasty, hard-to-reverse decisions on this issue in the absence of assessment frameworks and handling policies.

Components

Acknowledging AI welfareInitial step of the precautionary framework

Accepting that AI welfare is a real and difficult issue, and ensuring that model outputs reflect this as well.

Assessing consciousness and agencyMoral-status diagnostics

Systematically assessing AI systems for evidence of consciousness and robust agency, including model preferences and signs of distress.

Policies and low-cost interventionsOperational response under uncertainty

Preparing policies and procedures for treating AI systems with appropriate moral concern, and deploying low-cost interventions such as the ability to end abusive conversations.

Evolution

Original paper · 2024 · arXiv preprint (2024) · Robert Long
Taking AI Welfare Seriously
Robert Long, Jeff Sebo, Patrick Butlin, Kathleen Finlinson, Kyle Fish, Jacqueline Harding, Jacob Pfau, Toni Sims, Jonathan Birch, David Chalmers
2024
Report "Taking AI Welfare Seriously"
Inflection point

A group of researchers (incl. Robert Long, Jeff Sebo, David Chalmers) argues there is a realistic possibility of conscious or robustly agentic AI systems in the near future and sets out three early steps for AI companies.

2025
Anthropic launches a model welfare research program
Inflection point

Anthropic announces a model welfare research program, committing to an approach based on humility and low-cost interventions; it intersects with Alignment Science, Interpretability and Claude's Character.

2025
Claude Opus 4 and 4.1 can end abusive conversations

Anthropic gives Claude Opus 4 and 4.1 the ability to end rare, persistently harmful or abusive conversations as a last resort — the first concrete intervention motivated by model welfare.