As the date of 2 August 2026 approaches (subject to any amendments introduced by the Digital Omnibus), when the Fundamental Rights Impact Assessment (FRIA) becomes fully mandatory for certain uses of high-risk artificial intelligence systems, there is a growing need to clarify the nature, scope, and operational implications of this new requirement introduced by the AI Act.
The FRIA is not merely a formal obligation, but a key element of risk-based AI governance, likely to significantly affect the decision-making, organizational processes, and accountability frameworks of companies and public administrations.
For this reason, the editorial team has decided to launch a series of articles dedicated to the FRIA, with the aim of helping operators, professionals, and public decision-makers progressively understand a complex tool that is set to become a structural component of compliance strategies and algorithmic risk management.
This first installment introduces the regulatory framework of the FRIA within the AI Act, clarifying its relationship with the DPIA, and outlines its main practical aspects: from the context in which AI systems are used, to risks to fundamental rights that go beyond the mere protection of personal data, and finally the timing of the assessment and the role of multidisciplinary teams in its implementation.
The regulatory context and the need for FRIA
The European Union’s AI Act introduces a risk-based approach to the regulation of artificial intelligence.
One of the key pillars of the regulation is the obligation for certain users (deployers) to conduct a Fundamental Rights Impact Assessment (FRIA) before putting high-risk AI systems into operation.
The FRIA addresses the need to prevent violations of rights that extend beyond simple data protection, covering areas such as non-discrimination, human dignity, and access to essential services.
From theory to practice: what must be assessed
The FRIA requires a detailed analysis of the specific context in which the AI system will be used.
This does not involve assessing the technology alone, but also the decision-making process in which it is embedded, the categories of individuals affected (including vulnerable groups), and the severity and likelihood of the identified risks.
The assessment must be supported by robust documentation and, where possible, by the involvement of relevant stakeholders.
DPIA, FRIA and the FRAIA methodology
For effective data governance, it is essential to navigate between acronyms that, although similar, refer to different legal obligations and methodological tools.
The relationship between DPIA (Data Protection Impact Assessment), FRIA (Fundamental Rights Impact Assessment), and FRAIA (Fundamental Rights and Algorithms Impact Assessment) is not one of exclusion, but rather of progressive specification and integration.
