Overview
The Rational Intelligence Seminar Series (RISS) is set to host an engaging seminar titled “The Relative Value of Prediction” presented by Juan C. Perdomo from Harvard. This event aims to foster discussions around the role of predictive algorithms in enhancing decision-making and societal outcomes. The seminar is scheduled for August 27, 2025, and is part of RISS’s mission to explore rationality and efficiency in machine learning systems.
Background & Relevance
In the realm of machine learning, predictive algorithms play a crucial role in various applications, from healthcare to education. These algorithms are designed to forecast future events, thereby aiding in decision-making processes that can lead to improved life outcomes, such as increased graduation rates and enhanced life expectancy. However, the ultimate goal of these predictions is to enhance welfare rather than merely achieve accuracy. This perspective shifts the focus from algorithmic precision to broader societal impacts, making it essential to understand when investments in prediction yield significant benefits.
Key Details
- Date: August 27, 2025
- Time: 14:30 CET
- Platform: Zoom
- Zoom Link: Join Seminar
- 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 all interested participants, including researchers, students, and professionals in the fields of machine learning, computer science, and social sciences. It provides an excellent opportunity for attendees to engage with cutting-edge research and contribute to discussions on the implications of predictive algorithms.
Submission or Application Guidelines
No prior registration is required to attend the seminar. Interested participants can simply join via the provided Zoom link at the scheduled time. It is recommended to log in a few minutes early to ensure a smooth connection.
More Information
The seminar will delve into a new line of research that seeks to formalize the foundations of when investing in prediction is justified. This discussion is particularly relevant in today’s data-driven world, where the implications of predictive algorithms extend beyond technical accuracy to encompass ethical and social dimensions. Understanding these aspects is vital for developing responsible AI systems that prioritize human welfare.
Conclusion
This seminar presents a valuable opportunity for those interested in the intersection of machine learning and social impact. Attendees are encouraged to participate actively and share insights as they explore the complexities of predictive algorithms and their role in enhancing human decision-making. Don’t miss the chance to engage with leading research in this vital area of study.
Category: Conferences & Workshops
Tags: machine learning, predictive algorithms, rationality, CISPA, Harvard, data science, seminar, computer science, research, decision making, social impact, performance prediction
