Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal
David Leslie, Christopher Burr, Mhairi Aitken, Michael Katell, Morgan, Briggs, Cami Rincon

TL;DR
This paper proposes the HUDERAF, a comprehensive framework integrating human rights, democracy, and rule of law principles into AI governance to ensure trustworthy, responsible, and transparent AI development aligned with European standards.
Contribution
It introduces the HUDERAF, an end-to-end governance framework that operationalizes human rights due diligence within AI project lifecycles, combining risk analysis, stakeholder engagement, and impact assessment.
Findings
Developed a practical, principles-based governance model for AI.
Aligned AI project practices with European human rights standards.
Enhanced transparency and accountability in AI development processes.
Abstract
Following on from the publication of its Feasibility Study in December 2020, the Council of Europe's Ad Hoc Committee on Artificial Intelligence (CAHAI) and its subgroups initiated efforts to formulate and draft its Possible Elements of a Legal Framework on Artificial Intelligence, based on the Council of Europe's standards on human rights, democracy, and the rule of law. This document was ultimately adopted by the CAHAI plenary in December 2021. To support this effort, The Alan Turing Institute undertook a programme of research that explored the governance processes and practical tools needed to operationalise the integration of human right due diligence with the assurance of trustworthy AI innovation practices. The resulting framework was completed and submitted to the Council of Europe in September 2021. It presents an end-to-end approach to the assurance of AI project lifecycles…
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Taxonomy
TopicsLegal and Policy Issues · Education, Law, and Society · Law, AI, and Intellectual Property
MethodsHigh-Order Consensuses
