Accepted Papers

• Influence Reasoning Capabilities of Large Language Models in Social Environments

Luke Gassmann, Jimmy Campbell and Matthew Edwards

• Verification and Validation of AI Systems Using Explanations

Saaduddin Mahmud, Shlomo Zilberstein and Sandhya Saisubramanian

• Enhancing Fairness in LLM Evaluations: Unveiling and Mitigating Biases in Standard-Answer-Based Evaluations

Tong Jiao, Jian Zhang, Kui Xu, Rui Li, Xi Du, Shangqi Wang and Zhenbo Song

• Leveraging tropical algebra to assess trustworthy AI

Juliette Mattioli, Martin Gonzalez, Lucas Mattioli, Karla Quintero and Henri Sohier

• Artificial Trust in Mutually Adaptive Human-Machine Teams

Carolina Centeio Jorge, Ewart J. de Visser, Myrthe L. Tielman, Catholijn M. Jonker and Lionel P. Robert

• Towards linking local and global explanations for AI assessments with concept explanation clusters

Elena Haedecke, Maram Akila and Laura von Rueden

• A Black-Box Watermarking Modulation for Object Detection Models

Mohammed Lansari, Lucas Mattioli, Boussad Addad, Paul-Marie Raffi, Katarzyna Kapusta, Martin Gonzalez and Mohamed Ibn Khedher

• DQM: Data Quality Metrics for AI components in the industry

Sabrina Chaouche, Yoann Randon, Faouzi Adjed, Nadira Boudjani and Mohamed Ibn Khedher

• From Bench to Bedside: Implementing AI Ethics as Policies for AI Trustworthiness

Jeffrey M. Bradshaw, Larry Bunch, Michael Prietula, Edward Queen, Andrzej Uszok and Kristen Brent Venable

• Limitations of Feature Attribution in Long Text Classification of Standards

Katharina Beckh, Joann Rachel Jacob, Adrian Seeliger, Stefan Rueping and Najmeh Mousavi Nejad

• Cause and Effect: Can Large Language Models Truly Understand Causality?

Swagata Ashwani, Kshiteesh Hegde, Nishith Reddy Mannuru, Dushyant Singh Sengar, Mayank Jindal, Krishna Chaitanya Rao Kathala, Dishant Banga, Vinija Jain and Aman Chadha

• ML Model Coverage Assessment by Topological Data Analysis Exploration

Ayman Fakhouri, Faouzi Adjed, Martin Gonzalez and Martin Royer

• Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System

Chung-En Johnny Yu, Brian Jalaian and Nathaniel D. Bastian

• QUARL: Quantifying Adversarial Risks in Language Models

Joshua Ackerman, George Cybenko, Paul Lintilhac, Henry Scheible and Nathaniel Bastian

• Datamodel Distance: A New Metric for Privacy

Paul Lintilhac, Henry Scheible and Nathaniel Bastian

• S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving

Daniel Omeiza, Pratik Somaiya, Jo-Ann Pattison, Carolyn Ten-Holter, Marina Jirotka, Jack Stilgoe and Lars Kunze

• Unboxing Occupational Bias: Debiasing LLMs with U.S. Labor Data

Atmika Gorti, Manas Gaur and Aman Chadha