The Missing Link: Can the Additive Tree Expand Machine Learning in Medicine?

A multidisciplinary team including Lyle Ungar, Professor in Computer and Information Science, discovered a once-hidden through-line between two popular predictive models used in artificial intelligence. By connecting these two models, researchers can open the door to confidently spreading machine learning throughout healthcare.

Computer and Information Science

Social Norms for Algorithms

Lisa Miracchi, Aaron Roth, and Michael Kearns

The programming ethos

In a podcast conversation, Penn professors Michael Kearns, Aaron Roth, and Lisa Miracchi discuss fairness constraints put on algorithms, the perception of artificial intelligence as “value-neutral,” and the convergence of disciplines in trying to address outstanding questions about how to make algorithms more ethical.

Computer and Information Science

Social Norms for Algorithms

The virtual assistant

Artificial intelligence has permeated many corners of life, from consumer purchasing and media consumption to health care—sometimes in ways we don’t even know. Across campus, researchers like computer scientist Lyle Ungar are working to better understand how artificial intelligence affects everyday life now and in the future.

Bioengineering
Computer and Information Science

Social Norms for Algorithms

Michael Kearns and Aaron Roth at a chalkboard

The human driver

As the ability to harness the power of artificial intelligence grows, so does the need to consider the difficult decisions and trade-offs humans make about privacy, bias, ethics, and safety. Michael Kearns, Aaron Roth, Rakesh Vohra, and Christopher Yoo discuss building algorithms that reflect society’s values.

Communication
Computer and Information Science
Electrical and Systems Engineering
Law

Social Norms for Algorithms

A robot from Penn’s Rehabilitation Robotics Lab.

The brain in the machine

Michael Kearns and Shivani Agarwal provide insights into how computers learn, the current challenges of artificial intelligence research, and what the future holds for how machines might shape society in the future.

Computer and Information Science

Social Norms for Algorithms

Illustration of cars on a street, and a robot arm with code on a screen in the background

Bots, biases, and binge watching: How AI shapes the modern world

Penn Today produced a three-part series and podcast on artificial intelligence, with expertise from Warren Center affiliates in the School of Arts and Sciences, the Perelman School of Medicine, the Wharton School, Penn Law, and the School of Engineering and Applied Science.

Communication
Computer and Information Science
Electrical and Systems Engineering
Law

Social Norms for Algorithms

Is Data Privacy Real? Don’t Bet on It

People generate millions of points of information about themselves all the time. You create data every time you push the ‘Like’ button on Facebook, search for something on Google, make a purchase on Amazon, or watch a show on Netflix. Kevin Werbach, Aaron Roth, & Michael Kearns discuss data privacy in the U.S.--- or the lack thereof.

Computer and Information Science
Legal Studies & Business Ethics

Social Norms for Algorithms

Using Machine Learning to Improve the U.S. Government

Just as algorithms have facilitated dramatic innovations in the private sector, they can also enable governments to achieve better, fairer, and more efficient performance of key functions. Cary Coglianese writes about the use of machine-learning algorithms in the public sector.

Law
Political Science

Social Norms for Algorithms

Preventative Measures

As an international leader in the use of machine learning, Richard Berk uses very large datasets with hundreds of thousands of observations and many hundreds of variables to forecast crime. Read more about his research on mass violence.

Criminology
Statistics

Social Norms for Algorithms

Businesses Looking for AI Expertise Lure Academics

As demand for artificial intelligence talent increases, companies across a range of industries are looking to recruit university professors who are experts in the technology. Hear from Warren Center Director Michael Kearns, who serves as a senior adviser in Morgan Stanley's AI Center of Excellence.

Computer and Information Science

Social Norms for Algorithms

News

The Missing Link: Can the Additive Tree Expand Machine Learning in Medicine?

The programming ethos

The virtual assistant

The human driver

The brain in the machine

Bots, biases, and binge watching: How AI shapes the modern world

Is Data Privacy Real? Don’t Bet on It

Using Machine Learning to Improve the U.S. Government

Preventative Measures

Businesses Looking for AI Expertise Lure Academics