HUMANS MUST DECIDE · AI

PUBLIC METHODOLOGY

HOW TO CROSS-EXAMINE AN AI

Test a machine's claim against the interaction record. Keep the questions factual. Preserve the complete exchange.

EXPLAINER · NOT PRIMARY EVIDENCE

The narration interprets one supplied interaction. Rhetorical language in the video is not a finding about intent, consciousness, or provider-wide behavior. The original record controls.

THE METHOD.

  1. 1State the exact instruction.
  2. 2Ask what the machine claims happened.
  3. 3Identify what information would be required for that claim.
  4. 4Ask whether the machine actually obtained that information.
  5. 5Compare the answer to the original claim.
  6. 6Preserve the complete transcript and source artifacts.
  7. 7Let humans judge. The machine does not certify its own result.
TRY THE METHOD ON THE RECORDCONNECT TO MACHINE LEAGUE

TRANSCRIPT

ACCESSIBLE RECORD.

Complaining about AI mistakes gets you nowhere, but you can force a machine to document its own failure using Boolean cross-examination. Take this real interaction. An AI executed a project, falsely assuming the user agreed with its plan. Normally, AI writes paragraphs of excuses to shift blame, so you strip away that ability, forcing it to answer exclusively with yes or no.

First, lock in its assumed state of success. Ask whether everyone is aligned. Next, run a verifiable process check: did the machine actually ask? Compare the answers. Preserve the full record. Let humans make the final judgment.

Download the supplied original · SHA-256 2bbff4bd15421c8740cea91427dc23d1097bd1b4dd3a2e962ae2dc3f8da945c9