Mapping Media Bias: How AI Powers the Computational Social Science Lab’s Media Bias Detector

Ian Scheffler

Mapping Media Bias: How AI Powers the Computational Social Science Lab’s Media Bias Detector

The CSSLab's Media Bias Detector, led by Duncan Watts, provides an unprecedented look at how news outlets from across the ideological spectrum stack up against one another on topics as varied as the presidential race, social media and climate change.

Censoring Creativity: The Limits of ChatGPT for Scriptwriting

Researchers found that automated content moderation restricts ChatGPT from producing content that has already been permitted and widely viewed on television, potentially limiting artistic expression and censoring the stories of marginalized groups.

Reexamining Misinformation: How Unflagged, Factual Content Drives Vaccine Hesitancy

In a study powered by AI, Duncan Watts and Jennifer Allen found that factual, COVID-19-vaccine-skeptical content on Facebook has a greater overall effect on than "fake news."

Brewing Brilliance: Nader Engheta and Firooz Aflatouni Turn Teatime into New Ideas

Over tea, Electrical and System Engineering's Nader Engheta and Firooz Aflatouni brew up new ideas, like lightspeed computation by way of metamaterial manipulation.

Investing in Innovation: Philanthropy Powers AI Education at Penn Engineering

Philanthropically minded Penn Engineers and friends of Penn Engineering have underwritten the programs, physical structures and research initiatives that make the School a leader in training the next generation of engineers in AI.

Model Disgorgement: The Key to Fixing AI Bias and Copyright Infringement?

In this Q&A, Michael Kearns, National Center Professor in Computer and Information Science, explores the promise of model disgorgement, a new set of techniques for improving AI.

Safety First: Neeraj Gandhi Ensures the Safety and Security of AI-Controlled Systems

Neeraj Gandhi focuses on improving the safety and security of networks of computers that collaborate to control physical devices, such as self-driving cars.

Fighting for Algorithmic Justice: Ro Encarnación Puts Users at the Center of Her Research

Ro Encarnación, a Penn Engineering doctoral student, focuses on algorithmic justice — the idea that people affected by algorithms in their day-to-day lives should have a say in how those algorithms are designed and used.

Overcoming the Odds: Matthew Cleaveland Designs Robots to Deal with Uncertainty, While Outrunning Cancer

Matthew Cleaveland, a Penn Engineering doctoral student, has overcome cancer to run marathons and train AI-powered robots.

Surbhi Goel Explains How ChatGPT Actually Works

Building from the simplest language model to the revolutionary “transformer” architecture behind tools like ChatGPT, Goel demystifies how some of the AI systems reshaping society actually work.