Overview
The Rational Intelligence Seminar Series (RISS) is set to host an engaging seminar titled “Learning and Incentives in Human–AI Collaboration” on November 19, 2025. This event aims to deepen the understanding of rationality, efficiency, and reliability within machine learning systems, providing a platform for meaningful discussions and knowledge sharing among participants.
Background & Relevance
As artificial intelligence systems evolve, their integration with human decision-making processes becomes increasingly critical. The field of Human–AI collaboration focuses on how these systems can be designed to effectively work alongside human users. This seminar will address significant challenges, such as collaborative prediction and alignment of incentives, which are essential for ensuring that AI systems serve human interests effectively. Understanding these dynamics is vital for the future of AI applications across various domains, including healthcare and beyond.
Key Details
- Date: November 19, 2025
- Time: 14:30 CET
- Location: Online via Zoom
- Zoom Link: Join Seminar
- Meeting ID: 617 0840 1597
Eligibility & Participation
This seminar is open to anyone interested in the intersection of AI and human collaboration, including researchers, practitioners, and students. Participants will have the opportunity to engage with cutting-edge research and contribute to discussions on the implications of AI in collaborative settings.
Submission or Application Guidelines
No prior application is required to attend this seminar. Interested participants can join the session directly using the provided Zoom link. It is recommended to log in a few minutes early to ensure a smooth connection.
Additional Context / Real-World Relevance
The exploration of Human–AI collaboration is increasingly relevant in today’s AI landscape. As AI systems are deployed in critical areas such as healthcare, understanding how these systems can align with human goals is paramount. This seminar will shed light on innovative approaches to enhance collaboration between AI and human agents, ultimately contributing to the development of more effective and trustworthy AI systems.
Conclusion
The upcoming seminar by Natalie Collina promises to be an insightful event for those interested in the future of AI and its collaboration with humans. Participants are encouraged to join the discussion, share insights, and explore the implications of this important research area.
Category: Conferences & Workshops
Tags: ai, human-ai collaboration, machine learning, game theory, seminar, university of pennsylvania, rational intelligence, collaborative prediction
