Conference Data AI

PROVISIONAL PROGRAMME
	THURSDAY 29 OCTOBER 2026 (AFTERNOON)
	DAY 1 / Foundations of Artificial Intelligence: Understanding, Trust and Data
	13:30	Registration

	14:00	Opening remarks - ANSES

	14:10	Opening Keynote - AI: What Are We Talking About? Concepts, Methods and Limitations
		Prof. Dr Patrick Glauner, Deggendorf Institute of Technology, Germany
		Questions

	15:00	SESSION 1 / Validation, Explainability and Trust
		Keynote - From Data to Evidence: Building Trust in AI-Enabled Scientific Workflows
		Dr. Nina Jeliazkova, Ideaconsult, Ltd, Burlgaria
		Establishment of Readiness Criteria for AI-based tools for risk assessment: READYAI
		Dr. Joyce de Paula Souza, Swiss Centre for Applied Human Toxicology, University of Basel, Switzerland
		Title to be confirmed
		Dr. Moez Sanaa, International Food Risk Analysis Consortium (IFORAC), France
		Trusting AI Without Losing Control: A Modeller’s Perspective
		Laurent Guiller, ANSES, France
	16:30	Coffee break
	17:30	SESSION 2 / Data and Omics as the Foundation of AI
		Paper2Model Agents in RAKIP
		Matthias Filter, German Federal Institute for Risk Assessment (BfR), Germany
		A Retrieval-Augmented Natural Language Interface for Data Description and Meta-Analysis in the Pathogens-in-Foods (PIF) Database
		Ursula Gonzales-Barron, Polytechnic Institute of Bragança (IPB), Portugal
		From Omics Data to Biological Insights: The Role of AI in Nanosafety
		Andrea Haase, German Federal Institute for Risk Assessment (BfR), Germany
	18:00	Cocktail
	FRIDAY 30 OCTOBER 2026 (FULL DAY)
	DAY 2 / From Models to Decision-Making
	8:30	Registration and welcome coffee

	9:00	Welcome

	9:15	SESSION 3 / AI for risk assessment
		Keynote - title to be confirmed
		Dr. Didier Verloo, Head of Knowledge, Innovation and Partnerships - European Food Safety Authority (EFSA), Italy
		Implementation of AI-Based Support Systems in the Risk Assessment of Microorganisms
		Federal Office of Consumer Protection and Food Safety (BVL), Germany
		Artificial Intelligence in Food Safety
		Dr. Floor van Meer, Wageningen Food Safety Research, The Netherlands
		AI in Regulatory Food and Feed Safety Assessment: Current Uses, Challenges and Priorities
		ILMERAC
		Title to be confirmed
		Moez Sanaa, International Food Risk Analysis Consortium (IFORAC), France
	10:45	Coffee break
	11:15	SESSION 4 / AI for Surveillance and Early Detection
		PIFAlert: An Explainable, Evidence-Aware Recommender System for Foodborne Pathogen Surveillance
		Vasco Cadavez, Animal Science Department - Polytechnic Institute of Braganza (IPB), Portugal
		Toward Predictive Food Safety: Korea's Experience with AI-Enabled Surveillance, Early Detection, and Risk Assessment
		Hyang Sook Chun, Department of Food Science and Technology, Chung-Ang University, South Korea
	12:05	Lunch
	13:30	SESSION 5 / Case Studies and Implementation
		A Machine Learning Framework for Food Source Attribution of Listeria monocytogenes
		Isis Lorenzo, ANSES, France
		Leveraging Large Language Models to Capture Emerging Food Practices Relevant to Microbial Risk Assessment under Climate Change
		Estelle Chaix, ANSES, France
		AI-assisted Risk Negotiation
		Dr. Alex Fetsch, German Federal Institute for Risk Assessment (BfR), Germany
		Mapping the Risk of West Nile Virus in Equines in Europe
		Eric Morignat, ANSES, France
		Automating Food Classification Using LLMs: Application to the European FoodEx2 Classification System
		Thomas El Khilali, ANSES, France

	15:45	CLOSING ROUNDTABLE / AI in Risk Analysis: What is Realistic in the Next 5–10 Years?

	16:15	Conclusions and closing remarks