Aaron Roth: Pioneer of fair algorithms Congratulations to Aaron Roth, who received the Hans Sigrist Prize, endowed with 100,000 Swiss francs, at the University of Bern's 2023 Dies academicus. Computer and Information Science caret-arrow Social Norms for Algorithms
Responsible AI in the wild: Lessons learned at AWS Real-world deployment requires notions of fairness that are task relevant and responsive to the available data, recognition of unforeseen variation in the “last mile” of AI delivery, and collaboration with AI activists, write Michael Kearns and Aaron Roth for Amazon Science. Computer and Information Science caret-arrow Social Norms for Algorithms
How Apple Can Catch Up in the Generative AI Race “Apple is obviously a well-resourced tech company capable of competing in any arena it sets its mind to do so,” said Michael Kearns in an interview with AI Business. "I think the main question is how long it takes and how it fits with their current business model." Computer and Information Science caret-arrow Social Norms for Algorithms
Benefits and risks of AI | 42 years caring for Fairmount Park’s trees AI is increasingly a part of our lives: it can beneficial, like using a smart speaker - and risky, like deep fakes becoming more difficult to distinguish from reality. Cary Coglianese and Michael Kearns help us understand what artificial intelligence is, where it came from, and where it is going. Computer and Information Science Law Political Science caret-arrow Social Norms for Algorithms
AI For the Antitrust Regulator Cary Coglianese lays out the potential, and the considerations, for antitrust regulators to use machine learning and artificial intelligence algorithms. Law Political Science caret-arrow Social Norms for Algorithms
The Growth and Impact of Generative AI On the the premiere episode of Penn Engineering's "Innovation & Impact" podcast, Michael Kearns, Chris Callison-Burch, and Robert Ghrist discuss the growth and impact of generative AI. Computer and Information Science Electrical and Systems Engineering caret-arrow Social Norms for Algorithms
Why is Machine Learning Trending in Medical Research but not in Our Doctor’s Offices? Konrad Kording's new Community for Rigor aims to communicate that just because incorporating machine learning into biomedical research can introduce room for bias doesn’t mean scientists should avoid it. They just need to understand how to use it in a meaningful way. Bioengineering Neuroscience caret-arrow Social Norms for Algorithms
Regulating Machine Learning Cary Coglianese’s recent paper, “Regulating Machine Learning: The Challenge of Heterogeneity,” published by Competition Policy International, argues that because machine-learning algorithms are so dissimilar and diverse—that is, they are heterogeneous—figuring out the best way to regulate their use will be challenging. Law Political Science caret-arrow Social Norms for Algorithms
Responsible AI in the generative era Generative AI raises new challenges in defining, measuring, and mitigating concerns about fairness, toxicity, and intellectual property, among other things. But work has started on the solutions, writes Michael Kearns for Amazon Science. Computer and Information Science caret-arrow Social Norms for Algorithms
U.S. Census Data Vulnerable to Attack Without Enhanced Privacy Measures With computing power no stronger than a commercial laptop, Aaron Roth and Michael Kearns recently demonstrated that statistics released by the U.S. Census Bureau can be reverse engineered to reveal protected info about individual respondents. Computer and Information Science caret-arrow Social Norms for Algorithms
