In this report, CDT Research draws on prior work in human-computer interaction and deceptive design disciplines to investigate how established dark patterns documented in other digital technology contexts may translate to AI chatbots –– particularly those positioned for social, emotional, or relational use.

A new study by the Center for Democracy & Technology shows how chatbots like ChatGPT, Gemini, Replika and more can lead users down paths they didn't intend.

Workslop refers to AI-generated work that seems polished but is flawed and in need of heavy corrections

Maarten Sap is an assistant professor in Carnegie Mellon University's Language Technologies Department (CMU LTI), and a courtesy appointment in the Human-Computer Interaction institute (HCII). He is a...

An AI research platform took the top prize at Carnegie Mellon’s annual startup pitch event, beating more than 20 student-founded teams in this year’s finals.

For Alicia DeVrio, a PhD candidate at Carnegie Mellon University’s Human-Computer Interaction (HCI) Institute, the loom is a site of sociotechnical resistance.

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network.

At Carnegie Mellon University, an initiative to research the impacts of generative AI tools on teaching and learning is helping the university take an empirical approach to studying whether, when and how generative AI can have a positive effect on student outcomes.

Carnegie Mellon University has a long history of using technology to study and improve learning.

For professional designers and product managers in 2026, keeping pace with the advancements in artificial intelligence (AI) and design feels less like a career requirement and more like a full-time su...

Sarah Masud Preum, Ph.D. is an Assistant Professor of Computer Science at Dartmouth College and Technical Associate Director of the Dartmouth Center for Precision Health & AI. She leads the PersistLab...

WeAudit helps users test AI tools to discover issues like biases that developers might have missed. For example, if a user prompts a generative AI tool to produce images of a nurse and a doctor, and the nurses are all female and the doctors are male — as they are in the image above — then the user could generate a report about the bias.

How can we build usable, ethical technologies to resist surveillance capitalism? We live in an era where powerful institutions harvest and monetize user data, attention, and intellectual property with...

YouTube video by Stanford HAI

Duen Horng (Polo) Chau is a Professor at Georgia Tech’s School of Computational Science and Engineering, holding a Machine Learning (ML) Ph.D. from Carnegie Mellon University (Dissertation Award, Honorable Mention). He co-directs the MS Analytics program. He was the Director of Industry Relations at…