Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop (EXTRAAMAS 2021), Virtual Event, May 3-7, 2021, Revised Selected Papers

This compilation presents the proceedings of a significant workshop focused on the evolving fields of explainable and transparent artificial intelligence and multi-agent systems. Held virtually in May 2021, it captures the insights and advancements shared by experts as they delve into the challenges and opportunities associated with these technologies.

Contributions from prominent authors provide a comprehensive overview of the status quo and future directions in AI interpretability and system transparency. Readers can expect to find discussions around methodologies, frameworks, and real-world applications that aim to enhance the understandability of complex AI models and the interactions of autonomous agents in various environments.

Packed with revised selected papers, this volume serves as an essential resource for researchers, practitioners, and students alike, offering both theoretical perspectives and practical implications. It encourages a deeper exploration of how clarity in AI decision-making can foster trust and improve collaboration among human and machine agents.