What is it about?

Our workshop explores the complex world of trust within teams comprising both humans and artificial intelligence (AI). It highlights the findings from a workshop that brought together experts from various fields, including psychology, AI, and robotics, to discuss how trust is built, maintained, and measured in teams that include both humans and AI. The paper outlines the workshop's goals, including the development of computational methods to assess trust in human-AI teams, and summaries of keynotes and discussions. It explores themes like communication of intentions by AI, calibration of trust levels, ethical considerations in AI deployment, and the dynamics of teamwork involving AI.

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Why is it important?

This paper is significant as it addresses the increasingly relevant and complex topic of trust in human-AI interactions, a crucial aspect as AI becomes more integrated into various aspects of our lives and work. Understanding and effectively managing trust in human-AI teams is key to the successful implementation of AI technologies in fields ranging from healthcare to transportation. Our findings and discussions contribute to a deeper understanding of this dynamic, offering insights that are crucial for developers, researchers, and practitioners in AI and human-computer interaction. This work could lead to the development of more efficient, trustworthy, and ethical AI systems that seamlessly integrate into human teams.

Perspectives

Working on this paper was an enriching experience, bringing together a diverse group of researchers and thinkers. The opportunity to contribute to a topic as timely and impactful as trust in human-AI teams was deeply fulfilling. This paper not only advances academic discourse but also has the potential to influence how AI is perceived and implemented in real-world scenarios. As AI continues to evolve and become more prevalent in our daily lives, I believe that our work will play a crucial role in shaping the future of human-AI collaboration. I hope this paper serves as a catalyst for further research and discussions in this vital field.

Nicolo' Brandizzi
Universita degli Studi di Roma La Sapienza

Read the Original

This page is a summary of: MULTITTRUST: 2nd Workshop on Multidisciplinary Perspectives on Human-AI Team Trust, December 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3623809.3623978.
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