Responsible AI in the Generative Era

Michael Kearns joined the TWIML AI Podcast to discuss the new challenges to responsible AI brought about by the generative AI era, and his learnings and insights from the intersection of his real-world experience at AWS and his work in academia.

Computer and Information Science

Social Norms for Algorithms

AI and environmental challenges

The growth of artificial intelligence is impossible to ignore, but how does it intersect with climate and the environment? Cary Coglianese and Benjamin Lee weigh in on the roles AI may play.

Computer and Information Science
Electrical and Systems Engineering
Law
Political Science

Social Norms for Algorithms

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

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

Social Norms for Algorithms

Michael Kearns and Aaron Roth at a chalkboard

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

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

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

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

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

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

Social Norms for Algorithms

News

Responsible AI in the Generative Era

AI and environmental challenges

Aaron Roth: Pioneer of fair algorithms

Responsible AI in the wild: Lessons learned at AWS

How Apple Can Catch Up in the Generative AI Race

Benefits and risks of AI | 42 years caring for Fairmount Park’s trees

AI For the Antitrust Regulator

The Growth and Impact of Generative AI

Why is Machine Learning Trending in Medical Research but not in Our Doctor’s Offices?

Regulating Machine Learning