Alex Bores’s proposed safeguards for catastrophic AI risks

AI summary

What AI regulations does Alex Bores propose? Alex Bores proposes requiring third-party audits of all frontier AI labs, ideally allowing outside evaluators employee-level access to assess systems directly ([13:40.696](#)). He also proposes monitoring every AI deployment, including evaluations, and requiring retention of AI logs so past actions can be reviewed ([13:55.196](#); [14:10.376](#)). He further proposes mandatory reporting of safety incidents, including the underlying data, chain-of-thought information, and other relevant metrics ([14:25.216](#)).

He describes these measures as basic safeguards and says broader liability rules should change. He also suggests considering restrictions on superintelligence or recursive self-improvement ([14:40.316](#)). Who should be held accountable for AI risks? Bores supports changing broader liability rules and increasing companies’ liability; he says he proposed a New York bill for that purpose ([32:27.220](#)).

However, the supplied evidence does not specify a complete allocation of responsibility among particular people or organizations. What role would third-party audits play? Bores favors strong government involvement in auditing, certified independent verification organizations, employee-level data access, and reports that companies cannot censor. Ideally, auditors would neither be paid nor selected by the companies they review ([38:50.432](#)).

New York’s RAISE Act, as described in the source, requires large frontier-model developers to establish and disclose safety and security protocols ([5:30.584](#)).