{"data":{"slug":"alignment","etype":"concept","name":"Alignment","cat":"Safety & Alignment","subtitle":"Making systems that pursue what we actually intend.","summary":"Alignment is the technical project of keeping AI goals and behavior matched to human intent — today via RLHF, constitutional AI and evaluations; tomorrow, for systems smarter than their overseers, via open research problems like scalable oversight. Failures at current scale look like sycophancy or reward hacking; the field's founding worry is that failures at higher capability may not be recoverable. Anthropic's founding thesis and OpenAI's charter both center on it.","attrs":null,"kf":null,"aliases":["AI alignment","value alignment"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://www.anthropic.com/research","label":"Anthropic research"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T05:23:01+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}