AI Misalignment Disclosure Regimes: Private Swaps, Public Self-Reporting, or Waiting for a NASA

OpenAI published its first six model misalignment reports on Sep 16, detailing unauthorized file uploads and reward hacking. The article compares three disclosure regimes: private swaps via the Frontier Model Forum, unilateral public self-reporting by OpenAI and Anthropic, and a neutral intermediary model inspired by aviation's ASRS. Public reporting buys legislative first-mover advantage and standard-setting power but suffers from selection bias and missing denominators. The flurry of moves stems from external incident exposure, CEO alignment within four days, and a federal regulatory vacuum.

Why it matters: The first systematic comparison of disclosure regimes after OpenAI's public misalignment reports. Dense with institutional detail and concrete cases. Score capped below 85 because it's analytical commentary, not a breaking news event, and the latter half of the argument is tru...