Samuel Vance-Law, head of research at the Decentralization Research Center, argues that the White House accord's AI audits are flawed as auditors will only see what they're shown. He suggests auditors should choose what they test, companies should disclose auditor identity and scope, and audit committees should be externally accountable, citing the Enron scandal and Google DeepMind's double-blind testing as context.