Overview
The Rational Intelligence Seminar Series (RISS) is hosting an engaging seminar titled “Learning and Incentives in Human–AI Collaboration” presented by Natalie Collina, a PhD student at the University of Pennsylvania. This event aims to foster discussions on the intersection of rationality, efficiency, and reliability in AI systems, making it a significant opportunity for those interested in the evolving dynamics of human-AI interactions.
Background & Relevance
As artificial intelligence systems become increasingly sophisticated, understanding how they can collaborate effectively with humans is crucial. This seminar will delve into collaborative prediction, a concept particularly relevant in fields such as healthcare, where AI systems assist professionals in making accurate diagnoses. By exploring the dynamics of repeated interactions between humans and AI, the seminar addresses the broader implications of AI alignment and the incentives that drive AI behavior, which are essential for developing trustworthy AI systems.
Key Details
- Date: November 19, 2025
- Time: 14:30 CET
- Location: Online via Zoom
- Zoom Link: Join here
- Meeting ID: 617 0840 1597
- Speaker: Natalie Collina, University of Pennsylvania
Eligibility & Participation
This seminar is open to all individuals interested in the fields of AI and machine learning, particularly those focusing on human-AI collaboration and game theory. Researchers, students, and professionals are encouraged to participate and engage in discussions.
Submission or Application Guidelines
No prior registration is required to attend the seminar. Participants can join directly via the provided Zoom link at the scheduled time.
Additional Context / Real-World Relevance
The insights shared in this seminar are valuable for understanding the practical applications of AI in various sectors, including healthcare and technology. By examining how AI systems can be designed to align with human goals and incentives, the discussions will contribute to the ongoing dialogue about ethical AI development and its implications for society.
Conclusion
This seminar presents a unique opportunity to explore critical themes in AI and human collaboration. Attendees are encouraged to participate actively, share insights, and contribute to the conversation surrounding the future of AI systems. Join us to learn from Natalie Collina’s expertise and engage with fellow participants in this important discourse.
Category: Conferences & Workshops
Tags: ai, machine learning, human-ai collaboration, game theory, seminar, university of pennsylvania, cispa, trustworthy ai
