Explainable and Transparent AI and Multi-Agent Systems: 4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9-10, 2022, Revised Selected Papers

This book presents the refereed proceedings of the 4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022, which includes 14 full papers on various topics in AI and multi-agent systems, such as explainable machine learning, neuro-symbolic AI, explainable agents, XAI measures, and AI and law.

Format: Paperback / softback
Length: 239 pages
Publication date: 23 September 2022
Publisher: Springer International Publishing AG

The 4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022, was held virtually from May 9th to 10th, 2022. This book serves as a compilation of the refereed proceedings of the workshop, featuring 14 full papers that were meticulously reviewed and chosen from a total of 25 submissions. The papers were organized into topical sections, including:
1. Explainable Machine Learning: This section explored the principles, techniques, and applications of explainable machine learning, focusing on methods that enable the interpretation and understanding of AI models' decisions.
2. Explainable Neuro-Symbolic AI: This section delved into the intersection of neuroscience and AI, focusing on models that simulate the workings of the human brain and their ability to explain their behavior.
3. Explainable Agents: This section explored the design and development of explainable agents, which are AI systems that can communicate their decisions and reasoning to humans in a comprehensible manner.
4. XAI Measures and Metrics: This section discussed the development of metrics and measures for evaluating and assessing the explainability of AI systems, including fairness, interpretability, and transparency.
5. AI & Law: This section explored the legal and ethical implications of AI and multi-agent systems, focusing on issues such as accountability, liability, and privacy.

The workshop brought together experts from various fields, including computer science, neuroscience, law, and philosophy, to discuss the latest advancements and challenges in explainable and transparent AI and multi-agent systems. The papers presented at the workshop covered a wide range of topics, including neural networks, decision-making algorithms, agent-based simulations, and legal frameworks for regulating AI.

Overall, this book provides a valuable resource for researchers, practitioners, and policymakers interested in advancing the field of explainable and transparent AI and multi-agent systems. It serves as a testament to the growing importance of understanding and evaluating the ethical and societal implications of AI technologies.

Weight: 391g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031155642
Edition number: 1st ed. 2022