Computational Theory of Mind for Human-Machine Teams: First International Symposium, ToM for Teams 2021, Virtual Event, November 4-6, 2021, Revised Selected Papers

This book discusses the proceedings of the First International Symposium on ToM for Teams 2021, which explored the development of AI with ToM capabilities and their integration into human teams.

Format: Paperback / softback
Length: 229 pages
Publication date: 02 January 2023
Publisher: Springer International Publishing AG

The book serves as a comprehensive compilation of the proceedings of the First International Symposium, ToM for Teams 2021, which took place in Washington, DC, USA, from November 4 to 6, 2021. Spanning multiple chapters, this section delves into diverse aspects of AI, encompassing the perspectives and ideologies of human agents. The contributions presented herein showcase our collective endeavors to enhance our understanding of ToM, develop AI with ToM capabilities (ASI), and explore the integration of such systems into human teams.

The book offers a valuable resource for researchers, practitioners, and enthusiasts alike, providing insights into the latest advancements and challenges in the field of AI and its application within team-based environments. By presenting a diverse range of viewpoints and methodologies, it fosters a deeper understanding of the complex interplay between human cognition and AI systems, paving the way for the development of more effective and harmonious human-AI collaborations.

The First International Symposium, ToM for Teams 2021, held in Washington, DC, USA, from November 4 to 6, 2021, brought together experts from around the world to explore the role of Theory of Mind (ToM) in teams. The symposium aimed to foster collaboration and exchange of ideas between researchers, practitioners, and industry professionals working in the field of AI and team-based systems.

The book serves as a comprehensive compilation of the proceedings of the symposium, covering a wide range of topics related to ToM and AI in teams. The chapters in this section delve into various aspects of AI, including its development, applications, and integration into human teams. The authors present their research findings, theoretical frameworks, and practical experiences, providing valuable insights into the current state-of-the-art in the field.

One of the key themes of the symposium was the development of AI with ToM capabilities. The authors discussed the challenges and opportunities associated with building AI systems that can understand and simulate human-like ToM abilities, such as empathy, social cognition, and teamwork. They explored different approaches, such as machine learning, natural language processing, and simulation-based modeling, to develop AI that can effectively collaborate with human teams.

Another important aspect of the symposium was the study of how to integrate AI into human teams. The authors discussed the strategies and techniques that can be used to ensure effective collaboration between AI and human team members, including task allocation, communication, and decision-making processes. They also explored the ethical and social implications of AI integration, such as the potential impact on job displacement, privacy, and accountability.

The symposium also featured case studies and practical examples of AI and team-based systems in various industries, such as healthcare, education, and manufacturing. The authors presented real-world applications of AI and ToM, highlighting the benefits and challenges of implementing such systems in different contexts.

In conclusion, the book serves as a valuable resource for researchers, practitioners, and industry professionals interested in the field of AI and its application in teams. It provides a comprehensive overview of the latest advancements and challenges in the field, and offers insights into the potential of AI to enhance team performance, productivity, and collaboration. The symposium's proceedings highlight the importance of interdisciplinary research and collaboration in addressing the complex challenges posed by AI and team-based systems.

Weight: 379g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031216701
Edition number: 1st ed. 2022