Topics of interest

The topics of interest for the symposium include:

• Dimensions along which human-AI teams can vary, along with existing examples that illustrate them;

•  Possible team organizations that have not been explored but that show promise for effective interaction; 

• Ways that team designs can balance the benefits of including AI team members with the risks;

• Influence of features like AI transparency, interpretability, and explainability on team effectiveness;

• Principles for team design, including how to assign roles and responsibilities to people vs. machines;

• Modalities suited to support human-AI communication (e.g., text, speech, graphics) in different settings; 

• Social norms that facilitate meaningful yet feasible interactions between human and AI teammates;

• Impacts of these and other factors on the engineering life cycle, including development and deployment; 

• Socio-technical perspectives on how AI and people shape each others’ behavior during collaboration; and 

• Criteria for effectiveness of human-AI teams, ways to measure them, and likely tradeoffs among them.

Together, these insights will offer a road map for future research on human-AI collaboration, including open issues and priorities for addressing them.

Expected Presentations

Presentations will discuss application domains that can benefit from collaborative AI, implemented systems that participate in human-AI teams, and remaining challenges. Rather than focusing on details of AI systems, submissions and presentations should discuss the: 

•  Problem domain and overall objective of human-AI collaboration

• Human and AI team members, including abilities and expertise

• Roles and responsibilities of team members for component tasks

• Objectives, expectations, and interactions among team members

• Incorporation of features like transparency, trust, and dependability

• Responses to benefit-risk tradeoffs in AI-human collaboration; and

• Measures of task performance for both the overall team and members. 

This will make talks more accessible to participants with different backgrounds, encourage discussion of general principles for human-AI teaming, and forge a stronger research community.

Venue

San Francisco Airport Marriott Waterfront in Burlingame, CA. USA

1800 Old Bayshore Hwy, Burlingame, CA 94010