When using AI (in any form or shape) for assessment or feedback, you should rely on systems that are transparent and allow you to trace and track the use of AI on a single-user level. We go beyond that and enable educators to export comprehensive audit reports, designed for internal and external stakeholders, that document the use of AI on a submission basis.Documentation Index
Fetch the complete documentation index at: https://docs.clairelabs.ai/llms.txt
Use this file to discover all available pages before exploring further.
Audit reports
Claire enables educators to generate and export audit reports for any AI-assisted grading or assessment process. These reports provide a traceable record of how AI was used, the feedback it generated, and how educators interacted with its suggestions.Regulatory compliance
We have aligned Claire with the European Union’s GDPR and EU AI Act because we believe education requires a more conservative approach to AI. In assessment and learning, strong data protection, human oversight, transparency, and governance are essential.- EU AI Act: Many AI systems used in educational assessment are considered high-risk and therefore subject to stricter requirements. Claire is designed to meet these requirements with robust human-in-the-loop controls.
- GDPR: GDPR adds further safeguards around lawful processing, data minimization, security, and student data rights.
Looking for more details?
- To see how student data privacy is explained to students, see Data privacy and security.