HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
Journal:
arXiv
Published Date:
Mar 23, 2025
Abstract
This paper introduces the HH4AI Methodology, a structured approach to
assessing the impact of AI systems on human rights, focusing on compliance with
the EU AI Act and addressing technical, ethical, and regulatory challenges. The
paper highlights AIs transformative nature, driven by autonomy, data, and
goal-oriented design, and how the EU AI Act promotes transparency,
accountability, and safety. A key challenge is defining and assessing
"high-risk" AI systems across industries, complicated by the lack of
universally accepted standards and AIs rapid evolution.
To address these challenges, the paper explores the relevance of ISO/IEC and
IEEE standards, focusing on risk management, data quality, bias mitigation, and
governance. It proposes a Fundamental Rights Impact Assessment (FRIA)
methodology, a gate-based framework designed to isolate and assess risks
through phases including an AI system overview, a human rights checklist, an
impact assessment, and a final output phase. A filtering mechanism tailors the
assessment to the system's characteristics, targeting areas like
accountability, AI literacy, data governance, and transparency.
The paper illustrates the FRIA methodology through a fictional case study of
an automated healthcare triage service. The structured approach enables
systematic filtering, comprehensive risk assessment, and mitigation planning,
effectively prioritizing critical risks and providing clear remediation
strategies. This promotes better alignment with human rights principles and
enhances regulatory compliance.
