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cs.AI2026
Functional Welfare for AI Safety
Rikhil Jhaveri, Jamie Johnson, Punya Syon Pandey +1
AI welfare is generally treated purely as an ethical issue rather than also as a safety issue. We argue this is a mistake. Whatever their moral status, models exhibit welfare-like…
cs.AI2026
Character Training for Risk-Averse Agents
Arav Dhoot, Punya Syon Pandey, Jamie Johnson +3
Risk aversion in resources could prevent misaligned AI agents from causing catastrophic harm. Misaligned but risk-averse agents would tend to favor safer strategies like making dea…
cs.AI2025
Test of Time: Rethinking Temporal Signal of Benchmark Contamination
Terry Jingchen Zhang, Gopal Dev, Ning Wang +8
Post-cutoff performance decay of LLMs has been widely interpreted as a temporal signal for benchmark contamination, where public information released before the training cutoff may…