Deep Dive Workshop

Tools and methods for operationalizing the AI-Act in research and industry

Organized by:

Friday 9 October 10.00

Lead organizer: Anders Skaarup Johansen, Postdoc, CAISA & AAU

High-risk AI systems deployed in consequential domains must meet a growing set of legal obligations under the European AI Act, yet translating these obligations into concrete methods remains challenging. The European Commission has requested technical specifications in the form of harmonized standards, with terms such as accurate, robust, and trustworthy. Each of which, invoke processes and methods that vary greatly between disciplines and contexts.

In this session, we introduce and discuss the practical and technical challenges that arise when formalizing the AI Act’s legal obligations as concrete methods and measures. With a focus on discussing how these tools and methods are operationalized in practice, across industry, government and academia.

Tentative programme

Introduction and framing (10 min)

Invited talks (3 × 30 min)

Table discussions (2 × 30 min)

Plenary summary and closing (20 min)

Speakers’ list
Line K.H. Clemmensen and Ahcène Boubekki, Professor and Postdoc at UCPH:
Key insights from the YODA workshop
 
Christopher Gyldenkærne, HL7 Danmark  & Postdoc at CAISA/UCPH:
Machine Learning, Healthcare, and Standards
 
Irina Alex Shklovski, Professor at UCPH:
Shortcomings, and Politics of AI Standards

 

Level

Introductory: Suitable for beginners with little to no prior knowledge of the subject.

Organizers
  • Anders Skaarup Johansen (Lead organizer), Postdoc (asjo@create.aau.dk), CAISA & AAU (TECH)
  • Stella Graßhof, Associate Professor (stgr@itu.dk), IT University of Copenhagen (Data Science)
  • Line H. Clemmensen, Professor (lkhc@math.ku.dk), KU (MATH)
  • Ahcène Boubekki, Postdoc (ahcene.boubekki@math.ku.dk), KU (MATH).
  • Senha Das, Associate Professor (send@dtu.dk), DTU