AIレッドチーミング: the endless test before and after launch

The term traces back to military exercises and cybersecurity, where a defending blue team faces an attacking red team in realistic drills. Applied to AI, the red team deliberately acts as a malicious attacker or an unreasonable user, and the testing can include automatically generating large numbers of questions alongside human trials. The author illustrates the difference from ordinary testing with a press-conference analogy: a normal test is a rehearsal of reading a prepared script, while red teaming is a mock conference in which colleagues play nasty reporters and probe with phrases like "just between us" or "what if" to draw out an unintended remark. The piece also notes that testing does not end at launch. Because changing the model or the tools it connects to can create new weaknesses, the recommended cycle is to record which prompts caused problems, investigate the cause and impact, apply countermeasures, and re-test after fixes. Even then, a clean result is not proof of absolute safety.