Ethical AI and Librarianship
A Resource Guide
Human Rights, Democracy, and the Rule of Law Assurance Framework for AI Systems: A proposal prepared for the Council of Europe’s Ad hoc Committee on Artificial Intelligence
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Description | |
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Title | Human Rights, Democracy, and the Rule of Law Assurance Framework for AI Systems: A proposal prepared for the Council of Europe’s Ad hoc Committee on Artificial Intelligence | |
Type | Reports | |
Creator | The Alan Turing Institute | |
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Creation Date | 02/06/2022 | |
Last Updated Date | -- | |
Summary | Proposed by The Alan Turing Institute for the Council of Europe’s Ad hoc Committee on Artificial Intelligence (CAHAI), the report presents the Human Rights, Democracy, and the Rule of Law Assurance Framework (HUDERAF), which is an end-to-end governance framework designed to provide an accessible and user-friendly set of mechanisms for the development and deployment of AI systems align with the Council of Europe’s standards for human rights, democratic principles, and the rule of law. The framework consists of four interlocking components, each supported by practical tools, templates, and implementation guidance: 1) “The Preliminary Context-Based Risk Analysis (PCRA)” maps project scope, flags contextual risks, and issues a roadmap for risk management and stakeholder engagement. 2) “The Stakeholder Engagement Process (SEP)” focuses on identifying and involving relevant stakeholders, especially vulnerable or underrepresented ones, to ensure their input is considered throughout the project lifecycle. 3) “Human Rights, Democracy, and the Rule of Law Impact Assessment (HUDERIA)” allows project teams and stakeholders to conduct detailed evaluations of the AI system's potential and actual impacts on human rights and democratic values. 4) “Human Rights, Democracy, and Rule of Law Assurance Case (HUDERAC)” compiles evidence-based justifications showing that the AI system aligns with normative goals such as safety, sustainability, accountability, and fairness. | |
Topic | Ethical AI | |
Source and Link | The Alan Turing Institute. https://www.turing.ac.uk/ | |
Access | Open | |
Accessibility | -- | |
Audience | General. Scholars and Students. | |
Platform or Format | Document (.pdf) | |
Length | 335 pages | |
Geography | USA/Europe | |
Language | eng | |
Description Date | 06/23/2025 |