Jesse Davis and the Verifying Learning AI Systems (VeriLearn) workshop – ECAI23

Prof. Jesse Davis (KU Leuven) and collaborators are organizing The Verifying Learning AI Systems (VeriLearn) workshop in conjunction with the 26th European Conference on Artificial Intelligence, to be held in Krakow, Poland. The goal of the workshop is to bring together researchers interested in exploring how verification and machine learning can be combined to provide strong guarantees about software that learns and adapts itself based on past experiences.

Prof. Jesse Davis (KU Leuven) and collaborators are organizing The Verifying Learning AI Systems (VeriLearn) workshop in conjunction with the 26th European Conference on Artificial Intelligence, to be held in Krakow, Poland (ECAI23).

The goal of the workshop is to bring together researchers interested in exploring how verification and machine learning can be combined to provide strong guarantees about software that learns and adapts itself based on past experiences.

Papers are solicited on topics such as representations and languages that facilitate reasoning and verification, applications and extensions of software verification techniques in the context of machine learning, and ways to evaluate aspects of AI systems relevant from a trust and safety perspective.

In addition to these technical topics, the workshop also welcomes papers that address ethical, privacy, and societal concerns about AI. The use of verification in addressing these concerns will be highlighted through case studies showing illustrative applications where verification is used to tackle issues related to safety and trustworthiness.

Further information here https://dtai.cs.kuleuven.be/events/VeriLearn2023/index.php

Latest News

Join us from October 2024 to advance Trustworthy AI with real-world industrial applications

TUPLES members will lead key workshops at ICAPS 2024 in Alberta, Canada, showcasing advancements in human-aware, explainable, and data-driven planning and scheduling

We presented the key challenges of trustworthy AI through one of our project’s five use cases: the BELUGA™ Airbus Scheduling and Logistics in Aircraft Manufacturing.