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Artificial Intelligence

OpenAI, DeepSeek, and Google vary widely in identifying hate speech
Two people work on coding at computer.

Image: Kindamorphic via Getty Images

OpenAI, DeepSeek, and Google vary widely in identifying hate speech

Neil Fasching and Yphtach Lelkes of the Annenberg School for Communication have found dramatic differences in how large language models classify hate speech, with especially large variations for language about certain demographic groups, raising concerns about bias and disproportionate harm.

2 min. read

Where AI models fall short in mimicking the expressiveness of human speech
Ethan Yang, Jjianjing Kuang, Kevin Li, and Henry Huang.

Through the Penn Undergraduate Research Mentoring Program, students Ethan Yang, Kevin Li, and Henry Huang worked with linguistics professor Jianjing Kuang to study the ability of AI models to replicate the expressiveness of human speech.

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Where AI models fall short in mimicking the expressiveness of human speech

Undergraduates Kevin Li, Henry Huang, and Ethan Yang worked with linguistics professor Jianjing Kuang to compare speech production and perception by humans and AI—research that can help companies move closer to natural and expressive AI speech.

2 min. read

What is real about human-AI relationships?
A screenshot of a Replika chatbot screen.

Image: Courtesy of Annenberg School for Communication

What is real about human-AI relationships?

In a new paper, Annenberg School for Communication doctoral student Arelí Rocha explores how people discuss their relationships with AI chatbots.

Hailey Reissman

2 min. read

AI uncovers new antibiotics in ancient microbes
Cesar de la Fuente in his lab.

César de la Fuente (pictured) and his team used AI to study the proteins of hundreds of ancient microbes, searching for new antibiotic candidates.

(Image: Jianing Bai)

AI uncovers new antibiotics in ancient microbes

César de la Fuente uses AI to hunt for new antibiotic candidates in unlikely places, from the DNA of extinct organisms to the proteins of ancient microbes.

Ian Scheffler

2 min. read

Students use machine learning to track and protect whale populations
Chinmay Govind writing equations on a chalkboard.

Chinmay Govind, a rising second-year in the School of Engineering and Applied Science, writes equations on a chalkboard in his team's research space at David Rittenhouse Laboratory. For his portion of the PURM project, Govind used AI to track and map whale locations.

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Students use machine learning to track and protect whale populations

For their Penn Undergraduate Research Mentoring Program project, Chinmay Govind and Nihar Ballamudi leveraged AI to locate and census whales. The study may inform policy measures that help to improve protections for whale populations worldwide.

5 min. read