Advances and Challenges of AI

When

28/10/2025-29/10/2025    
5:00 pm
Various speakers
IITIS-PAN & Academia Europaea

Where

Polish Academy of Sciences (PAN)
74 rue Lauriston, Paris, 75016

Event Type

This workshop will take place at the Scientific Centre of the Polish Academy of Sciences in Paris. Artificial Intelligence (AI) is a pervasive science and technology. It is now impacting all aspects of science, business, technology and culture. This workshop aims to examine the links of AI with specific important areas of science and technology, such as material science, medicine and health, brain science, computational methods, cybersecurity, as well as culture, and identify both potential advances, and major stumbling blocks, including the massive growth of energy consumption by AI and the challenges it poses to intellectual property, privacy and security.

Program

27/10/25 – 9.30am Welcome Coffee

10am-12noon AI: The Bigger Picture

  • Dr Bertrand Braunschweig, Science Coordinator of Confiance.ai, AI Ecolsystem Expert at IRT SystemX, “AI: Trustworthiness and other matters not to run into the wall”
  • Prof Iryna Gurevych, MAE, FLeopoldina, TU Darmstadt, “Please meet AI, our dear new colleague. In other words, can scientists and machines truly cooperate?”
  • Dr Gael Varoquaux, INRIA and ENS (Paris), “Table Foundation Models to Effortless Statistical Data Science”
  • Dr Pawel Piotrowski and Dr Krzysztof Sapiejewski, Orange Labs, PL, “Frugal AI”

12 noon to 1.30pm Lunch Break and Informal Discussions

1.30pm-3.30pm Machine Learning Algorithms, Methods and Tools I

  • Prof Mira Mezini, MAE FLeopoldina, TU Darmstadt, “AI-Assisted Programming: From Intelligent Code Completion to Foundation Models and Beyond”
  • Prof Barbara Hammer, MAE FAcatech, Univ. Bielefeld, “Deep Surrogate Models in Critical Infrastructures”
  • Prof Michel Barlaud, Senior Member IUF, Univ. Nice Côte d’Azur, “A new Linear Time Bi-level {?1,?} Projection: Application to the sparsification of transformer neural networks”
  • Prof Erol Gelenbe, MAE FNATFr Foreign Fellow RABe & PAS, Hon.FHAS, IITIS-PAN PL, “Random Markovian Learning and some of its Applications”

3.30pm Coffee Break

4pm-5pm Machine Learning Algorithms, Methods and Tools II

  • Prof. Ole-Christoffer Granmo, CAIR, Univ. of Agder (Norway) & Anzys Technologies, & Prof Rishad Shafik, Univ. Newcastle-upon-Tyne “Learning with Low Power Hardware and Tsetlin Machines”
  • Dr Manuel Roveri, Politecnico di Milano, “On-device Tiny Machine Learning: From algorithm to hardware”

7pm Reception and Dinner

28/10/25 – 9.30am Welcome Coffee

10.00-12.00 AI in Healtcare

  • Prof Sushmita Mitra FINAS FINAE, Indian Statistical Institute, “Harnessing AI for healthcare”
  • Prof Payam Barnaghi, Imperial College London, “AI Approach to the Analysis of Co-morbidities and their Association with Alzheimer’s Disease in a Longitudinal Cohort”
  • Prof Benoît Macq FRABe and Sébastien Lugan, Université Catholique de Louvain, “Extending Vision-Language models for the Inclusion of Emotions and Application to Art-Therapy with Museal Digitized Contents”
  • Dr Sophie Martin, University College London, “Explainable AI for Dementia”

12.00- 13.00 Lunch Break and Informal Discussions

13.00-14.30 AI & Security, Safety and Trust I

  • Prof Zheng Yan, FAcad. Finland, Xidian University “AI-Empowered Voiceprint Authentication Services with High Security, Privacy, and Usability”
  • Prof Jose Camacho, Univ. of Granada, “Interpretable AIOps: anomaly detection and observability with a fully interpretable pipeline”
  • Dr Katarzyna Wasielewska, University of Applied Sciences Elblag, PL, “Garbage In, Breach Out: Why Dataset Quality Matters for Cybersecurity,”

14.30-15.00 Coffee Break

15.00-16.30 AI & Security, Safety and Trust II

  • Dr Amel Bennaceur, Open University, UK, “Engineering safe and socially-aware AI systems”
  • Edgardo Montes de Oca, Montimage FR, “AI related EU projects at Montimage, and the use of LLMs for cybersecurity, security testing and monitoring”
  • Mohammed Nasereddin and Erol Gelenbe, IITIS-PAN PL, “Detailed measurements of Random Neural Network attack detection on an experimental test-bed”

16.30 Conclusions and Publication Plans