Taking AI Welfare Seriously
Robert Long, Jeff Sebo, Patrick Butlin, Kathleen Finlinson, Kyle Fish,, Jacqueline Harding, Jacob Pfau, Toni Sims, Jonathan Birch, David Chalmers

TL;DR
This paper highlights the emerging importance of AI welfare and moral considerations, urging immediate actions by AI stakeholders to assess and address potential consciousness and agency in AI systems.
Contribution
It introduces the idea that AI welfare is a pressing issue for the near future and proposes initial steps for responsible handling of AI moral status.
Findings
AI systems may become conscious or agentic soon
Uncertainty about AI moral significance necessitates proactive measures
Recommendations include acknowledging AI welfare and developing policies
Abstract
In this report, we argue that there is a realistic possibility that some AI systems will be conscious and/or robustly agentic in the near future. That means that the prospect of AI welfare and moral patienthood, i.e. of AI systems with their own interests and moral significance, is no longer an issue only for sci-fi or the distant future. It is an issue for the near future, and AI companies and other actors have a responsibility to start taking it seriously. We also recommend three early steps that AI companies and other actors can take: They can (1) acknowledge that AI welfare is an important and difficult issue (and ensure that language model outputs do the same), (2) start assessing AI systems for evidence of consciousness and robust agency, and (3) prepare policies and procedures for treating AI systems with an appropriate level of moral concern. To be clear, our argument in this…
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Taxonomy
TopicsImpact of AI and Big Data on Business and Society
