Impact Assessment and Protection of Fundamental Rights
Fundamental and Human Rights Impact Assessment for Public and Private Actors under AI, Sustainability, and Related EU Legislation
Respect for fundamental rights has become a key compliance factor under multiple European regulatory frameworks. In this context, legal advisory services support both public and private entities in implementing Fundamental Rights Impact Assessments (FRIA), as mandated by Article 27 of the AI Act for high-risk AI systems, and under the European Directive on Corporate Sustainability Due Diligence.
The advisory activity includes the design and execution of integrated assessment models, combining:
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Fundamental Rights Impact Assessment (FRIA)
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Data Protection Impact Assessment (DPIA) under Article 35 of the GDPR
Three Key Phases of FRIA Implementation Support
1. Risk Identification
Development of a structured methodology to identify fundamental rights risks based on case studies.
Specifically, the process includes the creation of a risk assessment matrix estimating the potential impact on the first 50 rights enshrined in the EU Charter of Fundamental Rights—such as privacy, non-discrimination, and human dignity—using a standardized scale from low to high impact, applied to each concrete use case.
2. Process Assessment
Design and deployment of a qualitative and quantitative questionnaire aimed at mapping the full AI system lifecycle.
This tool helps to systematically determine what data is used, how long it is retained, and which user groups may be disproportionately affected by risks such as privacy infringements or algorithmic discrimination.
3. Mitigation Measures
Definition of appropriate risk mitigation strategies, including anonymization techniques, bias-reduction algorithms, and mechanisms for reinforcing human oversight and remedial action.
The goal is to minimize harm and ensure that AI-driven decisions are transparent, accountable, and rights-respecting.
Special attention is given to human-in-the-loop interventions, ensuring meaningful human oversight—especially in high-stakes or sensitive scenarios.
Fundamental and Human Rights Impact Assessment for Public and Private Actors under AI, Sustainability, and Related EU Legislation
Respect for fundamental rights has become a key compliance factor under multiple European regulatory frameworks. In this context, legal advisory services support both public and private entities in implementing Fundamental Rights Impact Assessments (FRIA), as mandated by Article 27 of the AI Act for high-risk AI systems, and under the European Directive on Corporate Sustainability Due Diligence.
The advisory activity includes the design and execution of integrated assessment models, combining:
-
Fundamental Rights Impact Assessment (FRIA)
-
Data Protection Impact Assessment (DPIA) under Article 35 of the GDPR
Three Key Phases of FRIA Implementation Support
1. Risk Identification
Development of a structured methodology to identify fundamental rights risks based on case studies.
Specifically, the process includes the creation of a risk assessment matrix estimating the potential impact on the first 50 rights enshrined in the EU Charter of Fundamental Rights—such as privacy, non-discrimination, and human dignity—using a standardized scale from low to high impact, applied to each concrete use case.
2. Process Assessment
Design and deployment of a qualitative and quantitative questionnaire aimed at mapping the full AI system lifecycle.
This tool helps to systematically determine what data is used, how long it is retained, and which user groups may be disproportionately affected by risks such as privacy infringements or algorithmic discrimination.
3. Mitigation Measures
Definition of appropriate risk mitigation strategies, including anonymization techniques, bias-reduction algorithms, and mechanisms for reinforcing human oversight and remedial action.
The goal is to minimize harm and ensure that AI-driven decisions are transparent, accountable, and rights-respecting.
Special attention is given to human-in-the-loop interventions, ensuring meaningful human oversight—especially in high-stakes or sensitive scenarios.