📋 Description
AI systems should incorporate an option for users to request for human review, as an alternative to the system's decision. This option is critical when:
- The AI system struggles to handle complex or ambiguous tasks (e.g., customer support for nuanced issues).
- The user believes the AI decision may be unfair or inaccurate (e.g., AI-based resume screening or loan approval).
- Ethical, legal, or high-stakes scenarios require human oversight (e.g., healthcare diagnosis, hiring decisions, financial fraud detection).
Providing a human alternative ensures that AI does not make critical decisions in isolation, promoting fairness, accountability, and user confidence.
📉 How It Reduces Risks
- Enhances Fairness & Equity: Allows users to challenge AI-generated decisions they find unfair.
- Improves Decision-Making Accuracy: Human oversight reduces errors in high-risk applications.
- Builds Trust & Transparency: Users are more likely to trust AI when they know they can escalate to a human.
- Ensures Regulatory Compliance
- Mitigates Automation Bias: Encourages users to critically assess AI decisions rather than blindly accepting them.
📎 Suggested Evidence
- User Interface Screenshots
- Show an option for requesting human intervention.
- System Logs & Records
- Track when users escalate cases to human review.
- Process Documentation
- Outline criteria for when AI defers decisions to humans.
- Compliance Reports
- Demonstrate alignment with legal frameworks requiring human oversight.
- User Feedback Data
- Evidence of user engagement with human intervention options.
