Fundamental Rights Impact Assessment
The growing use of AI and data-driven systems in society raises important concerns about their impact on individuals' fundamental rights. The EU AI Act and broader European legal frameworks emphasize the need to assess how these technologies affect dignity, fairness, autonomy, and non-discrimination.
Your journey to responsible innovation begins with a thorough Fundamental Rights Impact Assessment (FRIA).
Fundamental Rights Impact Assessment
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The course i attended gave me a great insight about data & ai. I would suggest it to everybody new and experienced people.

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UX Designer
What you need to know
Your path to ethically-aligned innovation
AI and data technologies increasingly influence how people live, work, and are treated by institutions. As these systems grow in power, so does their impact on fundamental rights, such as the right to non-discrimination, freedom of expression, access to justice, and human dignity.
A Fundamental Rights Impact Assessment (FRIA) helps organizations identify, evaluate, and mitigate the effects of their data and AI systems on these core rights. It’s not just good governance, it’s essential for building public trust and complying with legal frameworks like the EU AI Act and the Charter of Fundamental Rights.
At UMANIQ, we guide you through the FRIA process, ensuring your technology serves society, not just efficiency.
Safeguarding human rights while driving
FRIA
Six steps to to align innovation with human rights
1. Awareness & Education
2. Context & Use Case Mapping
3. Rights Analysis
4. Stakeholder Involvement
5. Mitigation & Redesign
6. Transparant Documentation
FRIA: Your roadmap to ethical AI
A Fundamental Rights Impact Assessment (FRIA) helps you look beyond technical compliance to the real effects your AI systems have on people’s lives. It uncovers risks like bias, exclusion, or loss of autonomy before they undermine trust. By embedding human rights at the core of design, you strengthen both accountability and social acceptance.

Protect rights, build trust
- Demonstrate commitment to ethical AI
- Comply with EU AI Act requirements
- Reduce reputational and regulatory risks
- Build user trust