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Team Science Tuesdays: Collective Intelligence in Human-AI Teams with Dr. Christoph Reidl

January 21, 2025 : 12:00pm - 1:00pm PDT

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Team Science Tuesday 2025 Inaugural Seminar

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Add to my calendar 01/21/2025 12:00pm 01/21/2025 1:00pm America/Los_Angeles Team Science Tuesdays: Collective Intelligence in Human-AI Teams with Dr. Christoph Reidl Team Science Tuesday 2025 Inaugural Seminar

Event Details

Mission: Building a community and recognition of Team Science by sharing resources and ideas.

Please join us for our 2025 Inaugural Seminar

Speaker: Dr. Christoph Reidl

Talk title: Collective Intelligence in Human-AI Teams

Abstract: The reliance on teamwork in organizations, coupled with remarkable recent progress in (generative) artificial intelligence, have supercharged the vision to develop collaborative Human-AI teams. Human-AI teams promise to overcome human biases and information processing limitations, reaching performance higher than human-only teams could. However, realizing positive synergies between humans and AI turns out to be quite difficult. In this talk, I will present a vision for how AI can augment the collective intelligence of teams by enhancing their collective memory, attention, and reasoning capacity. We will explore how AI can support group's collective memory by supporting members mental states, identified misunderstandings, and reducing cognitive load. We will then turn to AI's effect on collective attention. We will see results showing that AI subtly affects not only what teams talk about but also the specific terms and language teams adopt when they talk about objects mentioned by the AI. Finally, we look at recent work on collective reasoning that shows that while individuals can learn from AI feedback, on a collective level AI amplifies inequality and reduces intellectual diversity.

Bio: Christoph Riedl is professor for Information Systems and Network Science at the D’Amore-McKim School of Business at Northeastern University. He holds a joint appointment with the Khoury College of Computer Sciences and is a core faculty member at the Network Science Institute. He is a fellow at the Institute for Quantitative Social Science (IQSS) at Harvard and the Center for Collective Intelligence at MIT.


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Collective Intelligence in Human-AI Teams
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NIH Funding Acknowledgment: Important - All publications resulting from the utilization of SC CTSI resources are required to credit the SC CTSI grant by including the NIH funding acknowledgment and must comply with the NIH Public Access Policy.