عرض عملي: تصميم إشراف بشري على إيقاف البائعين آليًا

خطوة بخطوة

1. Define the decision: a fraud model flags sellers; a suspension stops income, so harm is real.
2. Set the rule: the model recommends; a trained reviewer decides; automatic action only for clear, low-harm temporary holds.
3. Give the reviewer the evidence: features, explanation, history, and a time budget.
4. Add notice and appeal: reasons given, appeal path, and a human decision within a stated period.
5. Planned mistake: fully automate suspensions to save reviewer cost. Fix: show harm and legal exposure, and keep review for high-impact actions while automating low-impact holds.
6. Add audit records and monitoring of appeal outcomes and error rates.