AI, Platforms & Data
AI Risk Assessment: A Scenario-Based, Proportional Methodology for the AI Act
This course examines the EU AI Act’s risk classification system and addresses the lack of a clear methodology for assessing AI risks. It proposes a new approach, inspired by the IPCC framework, to build real-world risk scenarios and balance competing values through a proportionality test. Practical applications include regulatory implementation, risk significance assessment, and internal risk management for AI deployers.
Introductory12 lessons1 questions
What is covered
- 1Meet the author
- 2Session 1 – Introduction
- 3Session 2 – AIA’s Risk-Based Regulation
- 4Session 3 – Strengths and Weaknesses of the AIA’s Risk Regulation
- 5Session 4 – Addressing the Model Flaw: The IPCC Framework for Risk Assessment
- 6Session 5 – A Quantitative Basis for the Model: The Proportionality Test
- 7Session 6 – Using the Semi-Quantitative Risk Approach: Three Applications Under the AIA
- 8Session 7 – An Illustration Case for Showing the Contributions of the Semi-Quantitative Approach
- 9Session 8 – Conclusions
- 10Read Paper
- 11We would love your feedback!1 question