Legal Disclaimer

1. Purpose of This Tool

The Fairness Diagnostic Kit (FDK™) is a diagnostic and educational resource.
It helps users identify potential bias and fairness issues in datasets and algorithms.
FDK does not provide legal advice or make binding legal judgements.
Its findings should be used as guidance to improve transparency, ethics, and accountability in technology and data analysis.

2. Scope of Use

FDK’s fairness reports are designed for research, awareness, and education.
They are not intended for use in court proceedings, regulatory decisions, or formal investigations without independent expert review.
Users are responsible for interpreting results within their own legal and institutional frameworks.

By using the FDK platform, users agree that:

  • All uploaded data is handled responsibly and in compliance with data protection laws.

  • The results represent statistical analysis, not legal conclusions.

  • FDK’s developers and contributors are not liable for how results are interpreted or applied.

3. Data Responsibility

Users must ensure that datasets uploaded to FDK:

  • Contain no personal identifiers or confidential information.

  • Are anonymised and ethically sourced.

  • Comply with relevant GDPR and data-protection standards.

FDK systems do not store, share, or reuse uploaded datasets once an audit is completed.

4. Ethical and Legal Alignment

FDK is built on internationally recognised frameworks, including:

  • The UNESCO Recommendation on the Ethics of Artificial Intelligence

  • The OECD AI Principles

  • The European Union AI Act (2024)

These principles guide FDK’s design toward fairness, accountability, transparency, and human rights compliance.

5. Educational Use

The information and analytics provided by FDK are for learning and professional development.
They are suitable for:

  • Students and researchers studying ethics in AI

  • Policy makers and educators exploring responsible AI use

  • Professionals assessing fairness in algorithmic systems

Users should always seek independent expert or legal advice before acting on audit results.

6. Limitation of Liability

FDK™ and its contributors make no warranties, expressed or implied, regarding:

  • The accuracy or completeness of results

  • The suitability of findings for any specific legal or professional purpose

By using this toolkit, you acknowledge that the results are advisory indicators, not definitive legal statements.

7. Contact

For clarification or collaboration, please reach out via the contact form or email: hello@ai-fairness.com.
We welcome responsible use, research cooperation, and public feedback to continue improving transparency in AI systems.