What the AI ethics conversation has produced in abundance is evidence. What it has failed to produce is a mechanism that turns evidence into changed behavior. The pattern is now familiar enough that it operates as its own genre: a bias incident surfaces, community outrage peaks within 48 hours, a company issues a statement, a patch is promised, and the next incident arrives before the promised fix has been verified. The genre is so predictable that the outrage itself has become part of the cycle — expected, absorbed, and ultimately…