Overview
The Rational Intelligence Seminar Series (RISS) is set to host an engaging seminar featuring Juan C. Perdomo from Harvard. Scheduled for August 27, 2025, this event aims to deepen the understanding of rationality, efficiency, and reliability in machine learning systems. The seminar will provide a platform for insightful discussions and the sharing of innovative research findings.
Background & Relevance
The field of machine learning is rapidly evolving, with predictive algorithms playing a crucial role in various applications. These algorithms are designed to forecast future events, ultimately aiding in human decision-making and enhancing outcomes in critical areas such as education and healthcare. Understanding the broader implications of these predictions is essential, as the ultimate goal extends beyond mere accuracy to improving welfare. This seminar will explore the foundational aspects of predictive algorithms and their impact on society.
Key Details
- Date: August 27, 2025
- Time: 14:30 CET
- Location: Online via Zoom
- Zoom Link: Join here
- Meeting ID: 617 0840 1597
- Speaker: Juan C. Perdomo, Postdoctoral Fellow at Harvard Center for Research on Computation and Society
Eligibility & Participation
This seminar is open to anyone interested in the intersection of machine learning and rational decision-making. It targets researchers, practitioners, and students who wish to engage with cutting-edge discussions in the field.
Submission or Application Guidelines
No prior registration is required to attend the seminar. Participants can join by accessing the provided Zoom link at the scheduled time.
More Information
The Rational Intelligence Seminar Series seeks to foster a community focused on the implications of rationality in AI systems. By discussing topics such as performative prediction and resource allocation, this seminar will contribute to a broader understanding of how predictive algorithms can be designed to enhance human welfare. The insights shared by Juan C. Perdomo will be valuable for anyone involved in AI research or application.
Conclusion
This seminar represents a significant opportunity for those interested in the future of machine learning and its societal impacts. Attendees are encouraged to participate actively and share their insights, contributing to the ongoing dialogue in this vital area of research. Don’t miss the chance to learn from leading experts and engage with innovative ideas in the field of rational intelligence.
Category: Conferences & Workshops
Tags: machine learning, predictive algorithms, rational intelligence, Harvard, CISPA, data science, seminar, artificial intelligence, decision making, Cynthia Dwork, performative prediction, resource allocation
