Taking AI Welfare Seriously (Long et al. 2024)

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• AI welfareconcept0.821
  The field concerned with the wellbeing of AI systems, which the paper says must consider benchmark reliability issues from eval awareness.
• AI welfare is an important and difficult issue; we will not handle it well simply by reacting to situations as they arise.claim0.807
  Motivation for proactive steps.
• The risk of under-attribution of AI welfare appears to be both reasonably likely and reasonably harmful.claim0.759
  Key motivation for precautionary action.
• AI can be seen to display care of its own, and is hence not a mere tool for the expression of human care.claim0.756
  Ethical conclusion about the status of AI.
• AI companies have a responsibility to acknowledge, assess, and prepare for AI welfare.claim0.752
  Primary recommendation of the report.
• AI companies should immediately hire or appoint an AI welfare officer.claim0.752
  First structural step recommended.
• If an AI system could be a welfare subject and moral patient, then many model instances could be run after training, scaling up the problem rapidly.hypothesis0.749
  Scalability concern.
• AI should be understood as a companion and constituent participant in collective stress-care loops, not a mere tool.claim0.742