Evidence item

The authors identify human supervision as the central bottleneck in AI alignment and list plural values, limited attention, counterfactual reasoning, and expertise-limited verification as obstacles; this supports the possibility that human alignment is unusually difficult. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 11919

Source: AI alignment is a human problem · locator {} · excerpt hash sha256:c40efd4721cdc382a22502c1d0d5ea455a7b0e8fd245d733d2927aa511d1c2e8

The central challenge for alignment is to amplify the human supervisory signals on which alignment training depends ... [alignment requires addressing] biased and context-sensitive judgement, plural and contested values, limited attention and throughput, limited counterfactual reasoning, and expertise-limited verification.