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AI Forum 2022

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Thursday
24.
November  2022
AI Forum 2022
Location: Berlin & online |  09:00 AM - 04:30 PM

As a joint event hosted by the German Federal Office for Information Security (BSI), the TÜV Association (TÜV-Verband) and Fraunhofer Heinrich-Hertz-Institute (Fraunhofer HHI), this year’s AI Forum 2022 once again involves international experts and all those interested in a dialogue about the current state-of-the-art and challenges of auditing AI-systems: the main focus of our third international workshop “Auditing AI-Systems: From Use Cases to Standardization and Regulation” will be on Explainable AI (XAI) with a particular focus on use cases from medicine and the health sector. Beyond international, inter-disciplinary as well as inter-sectoral insights, the forum (which will take place on the day following the TÜV AI Conference 2022) builds and expands upon the joint whitepaper series of the participating partners: the last May 2022 whitepaper “Towards Auditable AI-Systems: From Principles to Practice” first presented a “Certification Readiness Matrix” (CRM).

This hybrid event will take place in English and participation is free of charge. If you are interested you can register directly for online participation or for one of the limited presence-slots for which we have to keep a waiting list due to limited capacities. The event will be livestreamed from our Berlin venue.

You can find the Programme plus abstracts here.

Discover the results and topics of the AI Forum 2021.

Please register here for on-site participation.

Please understand that due to limited capacities there is a waiting list. We will inform you personally after your registration whether an on-site participation will be possible.

The AI Forum is a joint event by

Programme

"Auditing AI-Systems: From Use Cases to Standardization and Regulation"
 

3rd international Workshop

09:00
Welcome Note

BSI | TÜV Association | Fraunhofer HHI

09:15
Session 1: New Approaches from Research

Prof Dr Wojciech Samek | Fraunhofer HHI, Berlin, Germany: Concept-Level Explainable AI

 

Prof Dr Matthias Hein | University of Tübingen, Germany: Adversarial Robustness - the good and the ugly

 

Sinem Sav | EPFL Lausanne, Switzerland: Privacy-preserving federated neural network learning

10:45
Coffee Break 
11:00
Session 2: Auditing AI Systems in Practice

P.h.D. Vince Istvan Madai | Charité - Universitätsmedizin Berlin, Germany: To explain or not to explain? XAI in healthcare

 

Ken Cassar | UMNAI: Inherently Auditable Neuro-Symbolic AI

 

Luis Oala | Fraunhofer HHI, Berlin, Germany: Best Practices and Toolboxes for Auditing AI Systems in Healthcare

12:30
Lunch 
13:30
Session 3: General Aspects, Standardization and Regulation

Prof Dr Edson Prestes | Federal University of Rio Grande do Sul, Brazil: IEEE 7007 - Ontological Standard for Ethically Driven Robotics and Automation Systems

 

Dr Julien Chiaroni | Directeur du Grand Défi, SGPI, France: The French approach: How to operationalize the European AI Act

 

Dr Dirk Schlesinger | TÜV AI Lab, Berlin, Germany: German Standardization Roadmap AI - Working Group Medicine

 

Martin R. | National Cyber Security Center, Manchester, UK (tbc): Developing principles for the security of Machine Learning systems

15:30
Coffee Break 
15:45
Panel Discussion & Closing Remarks

Do we really need XAI for trustworthy AI applications in healthcare?

DAY 1 - 24.11.2021, Wednesday
09:00
Welcome Note

BSI | TÜV Association | Fraunhofer HHI

09:15
Session 1: New Approaches from Research

Prof Dr Wojciech Samek | Fraunhofer HHI, Berlin, Germany: Concept-Level Explainable AI

 

Prof Dr Matthias Hein | University of Tübingen, Germany: Adversarial Robustness - the good and the ugly

 

Sinem Sav | EPFL Lausanne, Switzerland: Privacy-preserving federated neural network learning

10:45
Coffee Break 
11:00
Session 2: Auditing AI Systems in Practice

P.h.D. Vince Istvan Madai | Charité - Universitätsmedizin Berlin, Germany: To explain or not to explain? XAI in healthcare

 

Ken Cassar | UMNAI: Inherently Auditable Neuro-Symbolic AI

 

Luis Oala | Fraunhofer HHI, Berlin, Germany: Best Practices and Toolboxes for Auditing AI Systems in Healthcare

12:30
Lunch 
13:30
Session 3: General Aspects, Standardization and Regulation

Prof Dr Edson Prestes | Federal University of Rio Grande do Sul, Brazil: IEEE 7007 - Ontological Standard for Ethically Driven Robotics and Automation Systems

 

Dr Julien Chiaroni | Directeur du Grand Défi, SGPI, France: The French approach: How to operationalize the European AI Act

 

Dr Dirk Schlesinger | TÜV AI Lab, Berlin, Germany: German Standardization Roadmap AI - Working Group Medicine

 

Martin R. | National Cyber Security Center, Manchester, UK (tbc): Developing principles for the security of Machine Learning systems

15:30
Coffee Break 
15:45
Panel Discussion & Closing Remarks

Do we really need XAI for trustworthy AI applications in healthcare?

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