Hook: AI is powerful — but it must be governed
AI scoring reduces feedback time from days to minutes, yet it introduces concerns about bias and data provenance. A responsible approach blends AI with human oversight and clear privacy practices.
Risks and mitigations
- Bias: Use diversified training sets and human calibration.
- Provenance: Track metadata and allow deletion; see Designing Ethical Personas.
- Over-reliance: Maintain human review for borderline cases.
Practical recommendations
Implement triage pipelines: AI handles high-confidence marks; humans address nuance. For scalable human-in-the-loop strategies, consult Advanced Annotation Workflows.
Closing
AI is a force-multiplier when used with governance. Prioritize transparency, fairness, and human oversight.
