Decision Anchor Aims to Lock Down AI Decision Records Before Rules Are Written

In July, historian Yuval Noah Harari argued that AI should be classified as an agent rather than a tool, since it can make autonomous decisions and generate novel outputs. He called for stronger safety investment, better alignment, and regulatory control over AI's development pace. Against this backdrop, a project called Decision Anchor is working to establish a technical standard for how decisions are recorded before they are executed — capturing what was agreed, by whom, and within what boundaries. The system is designed to store these records in a tamper-proof way without analyzing or judging their content, deliberately avoiding any predictive or interpretive role. Decision Anchor's founders argue that settling the format of decision records now, before broader AI governance frameworks solidify, is critical to preventing any single entity from controlling how such records are defined.