Future Trajectories of Human-AI Collaboration and Teaming
As AI systems become more integrated into our daily lives, the nature of human-AI collaboration is evolving rapidly. While current interactions often involve humans directing AI, future Human-AI Teaming (HAT) will require more dynamic, bidirectional partnerships. This webinar series will explore key aspects of HAT, addressing questions related to education, performance optimization, ethics, and trust, while also incorporating foundational theories, methodologies, and system design considerations.
The first webinar will provide an overview of the current state of HAT, examining what it means to work alongside AI teammates and how to prepare individuals for these roles. Where are we now? Where are we headed? This session will lay the groundwork by reviewing key theories and identifying emerging opportunities and challenges in the field. As AI systems transition from passive tools to active collaborators, AI can play various roles—mentor, coach, assistant, or peer—so this session will also examine the cognitive and behavioral implications of these interactions. Key questions to be addressed include:
What level of autonomy is appropriate?
What responsibilities should be allocated to AI versus humans?
How can we design AI teammates that enhance human decision-making and performance?
Understanding these foundational questions is essential to designing effective, ethical, and trustworthy human-AI teams. Join us as we explore the evolving landscape of human-AI teaming and the future of collaboration.
When:
Wednesday, May 28, 2025, 1:00 PM - 2:30 PM (UTC-04:00) Eastern Time (US & Canada)
Where:
Attend virtually:
You will receive the relevant link(s) to attend virtually via email.