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Programme.

​08:45-09:00

Opening and welcome to WAISE 2023, Organisation Committee

Keynote Talk

​09:00-10:00

Challenges in Building Safe LLM-Powered Conversational Systems

Razvan Dinu, Principal Applied Scientist, NVIDIA

​10:00-10:30

Coffee break

Session 1: AI Uncertainty and Monitoring

​10:30-10:50

Contextualised Out-of-Distribution Detection using Pattern Identification

Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia and Zakaria Chihani

​10:50-11:10

Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?

Lisa Jöckel, Michael Klaes, Janek Groß and Pascal Gerber

​11:10-11:30

AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarms

Dhaminda Abeywickrama, James Wilson, Suet Lee, Greg Chance, Peter Winter, Arianna Manzini, Ibrahim Habli, Shane Windsor, Sabine Hauert and Kerstin Eder
 

Session 2: Assurances for Autonomous Systems

​11:30-11:45

Towards Deep Anomaly Detection with Structured Knowledge Representations (Doctoral paper)

Konstantin Kirchheim

​11:45-12:00

A Reasonable Driver Standard for Automated Vehicle Safety

Philip Koopman and William Widen

​12:00-13:00

Lunch break

Session 3: AI Safety

​13:00-13:20

Safety Integrity Levels for Artificial Intelligence

Simon Diemert, Laure Millet, Jonathan Groves and Jeffrey Joyce

​13:20-13:40

AIMOS: Metamorphic Testing of AI - An Industrial Application

Augustin Lemesle, Aymeric Varasse, Zakaria Chihani and Dominique Tachet

​13:40-14:00

A Group-Level Learning Approach Using Logistic Regression For Fairer Decisions

Marc Elliott and Deepak Padmanabhan

Session 4: Assurances for Autonomous Systems 2

​14:00-14:20

Towards Safe Machine Learning Lifecycles with ESG Model Cards

Thomas Bonnier and Benjamin Bosch

​14:20-14:40

Can Large Language Models assist in Hazard Analysis?

Simon Diemert and Jens Weber

​14:40-15:00

Short Birds of a Feather Session

​15:00-15:30

Coffee break

Session 5: AI Safety 2

​15:30-15:45

Evaluating and Increasing Segmentation Robustness in CARLA

Venkatesh Sambandham, Konstantin Kirchheim and Frank Ortmeier

​15:45-16:00

Structuring Research Related to Dynamic Risk Management for Autonomous Systems

Rasmus Adler, Jan Reich and Richard Hawkins

Community Debate

16:00-17:00

Plenary Discussion "Is the Last Mile in Engineering Safe AI Systems LLM-based?"

​17:00-17:10

WAISE2023 Wrap Up

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