top of page

Previous Editions: WAISE 2023

Sixth International Workshop on

Artificial Intelligence

Safety Engineering 



Opening and welcome to WAISE 2023, Organisation Committee

Keynote Talk


Challenges in Building Safe LLM-Powered Conversational Systems

Razvan Dinu, Principal Applied Scientist, NVIDIA


Coffee break

Session 1: AI Uncertainty and Monitoring


Contextualised Out-of-Distribution Detection using Pattern Identification

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


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


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


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

Konstantin Kirchheim


A Reasonable Driver Standard for Automated Vehicle Safety

Philip Koopman and William Widen


Lunch break

Session 3: AI Safety


Safety Integrity Levels for Artificial Intelligence

Simon Diemert, Laure Millet, Jonathan Groves and Jeffrey Joyce


AIMOS: Metamorphic Testing of AI - An Industrial Application

Augustin Lemesle, Aymeric Varasse, Zakaria Chihani and Dominique Tachet


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

Marc Elliott and Deepak Padmanabhan

Session 4: Assurances for Autonomous Systems 2


Towards Safe Machine Learning Lifecycles with ESG Model Cards

Thomas Bonnier and Benjamin Bosch


Can Large Language Models assist in Hazard Analysis?

Simon Diemert and Jens Weber


Short Birds of a Feather Session


Coffee break

Session 5: AI Safety 2


Evaluating and Increasing Segmentation Robustness in CARLA

Venkatesh Sambandham, Konstantin Kirchheim and Frank Ortmeier


Structuring Research Related to Dynamic Risk Management for Autonomous Systems

Rasmus Adler, Jan Reich and Richard Hawkins

Community Debate


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


WAISE2023 Wrap Up


Organization Committee

  • Orlando Avila-García, Arquimea Research Center, Spain 

  • Mauricio Castillo-Effen, Lockheed Martin, USA
    Chih-Hong Cheng, Fraunhofer IKS
    , Germany

  • Zakaria Chihani, CEA LIST, France 

  • Simos Gerasimou, University of York, UK

Programme Committee

  • Vincent Aravantinos, Argo AI, Germany

  • Alec BanksDefence Science and Technology Laboratory, UK

  • Markus Borg, CodeScene, Sweden

  • Simon Burton, IKS Fraunhofer, DE

  • Radu Calinescu, University of York, UK

  • Javier Cámara, University of Malage, Spain

  • Raja Chatila, ISIR - Sorbonne University, France 

  • Huascar Espinoza, KDT JU, Belgium

  • John Favaro, INTECS, Italy

  • Jérémie Guiochet, LAAS-CNRS, France

  • Nico Hochgeschwende, Bonn-Rhein-Sieg University, Germany

  • Philip Koopman, Carnegie Mellon University, USA

  • Bettina Könighofer, Technical University of Graz, Austria

  • Nicholas Matragkas, CEA LIST, France

  • Adedjouma Morayo, CEA LIST, France

  • Chokri Mraidha, CEA LIST, France

  • Vladislav Nenchev, BMW Group, Germany

  • Jonas Nilsson, Nvidia, USA

  • Philippa Ryan Conmy, University of York, UK

  • Mehrdad Saadatmand, RISE SICS, Sweden

  • Ioannis Sorokos, Fraunhofer IESE, Germany

  • Andrea Stocco, Technical University Munich, Germany

  • Mario Trapp, Fraunhofer IKS, Germany

  • Meine van der Meulen, DNV, Norway

  • Xingyu Zhao, University of Liverpool, UK

bottom of page