AI, Platforms & Data
Habemus a Right to an Explanation: so What? – A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act
This course explores the European Union's Artificial Intelligence Act (AI Act), finalized in 2024, with a focus on its transparency and explainability requirements for AI systems. It introduces the TEFT (Transparency-Explainability Functionality and Tensions) framework, which helps analyze the legal, technical, and ethical challenges of implementing these requirements in practice. Through literature review and a detailed examination of the AI Act, the course maps the interests, risks, and goals of key stakeholders—including AI providers, regulators, and affected individuals—highlighting the tensions between transparency and the protection of intellectual property.
Introductory11 lessons1 questions
What is covered
- 1Meet the author
- 2Session 1 - Introduction: The Need for Transparency and Explainability in AI & Methods and Scope: Research Approach
- 3Session 2 - Literature Review: The Right to Explanation - From GDPR to AI Act & Unpacking the GDPR’s “Right to Explanation”
- 4Session 3 - Tensions in Realizing the Right to Explanation & Proposed Governance Solutions & THE EU AI Act and Current Ambiguities: Transparency and Explainability Provisions
- 5Session 4 - Transparency and Explainability Clauses & Frictions and Residual Ambiguities & Transparency in Practice: TEFT Framework
- 6Session 5 - Transparency in Practice: TEFT Framework & Components: Actors & Goals
- 7Session 6 - Contextual Factors & Additional Considerations
- 8Session 7 - Research Limitations & Directions & Conclusion: Synthesizing Perspectives and Future Directions
- 9Read Paper
- 10We would love your feedback!1 question