# AI can support assessment. It should not make the final decision alone.

> TAP is designed around human-in-the-loop AI. The platform can analyse responses and suggest evaluation outputs, but final assessment decisions remain under human control.

Source: https://www.usetap.ai/en/methodology/human-in-the-loop-ai

AI can make assessment work faster and more scalable, but high-stakes people decisions require transparency, review, and accountability. TAP gives assessors the ability to inspect AI-generated evidence, understand scoring suggestions, edit outputs, and approve final reports.

## Our principles

- **AI supports, humans decide**: TAP AI surfaces evidence and scores — assessors review, adjust, and approve every result before it is final.
- **Every score is explainable**: Score suggestions come with the reasoning and evidence behind them, not just a number.
- **Assessors can override**: Any AI suggestion can be edited or overridden by a human assessor at any time.
- **Evaluation history is auditable**: All AI suggestions, changes, and approvals are logged for transparency and accountability.

## Design principles

- AI supports, humans decide
- Every score should be explainable
- Evidence should be visible
- Assessors can override AI suggestions
- Evaluation history should be auditable
- Final decisions remain accountable to people

## Contact

Book a demo: https://www.usetap.ai/en/contact
Email: hey@theleapers.co