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Ashique KhudaBukhsh

The Pittsburgh Post-Gazette references RIT research and findings on the toxicity rabbit hole of large language models. The RIT research team included Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering. (This content will require a subscription to view.)

University presidents and leaders from across academia gathered in Rochester to discuss the rapidly shifting landscape of higher education. The distinguished experts noted how universities at the center of this change—including RIT—can use headwinds as opportunities to propel forward.

Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, was interviewed by CNN about his research on antisemitism in artificial intelligence models. (This content may require a subscription to view.)

Mad in America references a study coauthored by Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, and second-year computing and information sciences Ph.D. student Arka Dutta about how AI language models can swiftly escalate from mild stereotypes to promoting harmful narratives about mental health.

CNET speaks to Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, about the AI tools now available from Microsoft.

A new study from RIT and Carnegie Mellon University experts is challenging a widely held belief about the media—that local news outlets have become more critical of the police in recent years.

Tech Crunch speaks to Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, about the risks associated with using AI to create hypotheses and research plans.

Insider Monkey features Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, in a discussion about selecting AI stocks.

Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, appeared on Arirang News, a Korean broadcasting station, for a discussion about DeepSeek’s R1 generative AI model.

Wired speaks to Ashique KhudaBukhsh, assistant professor in the Department of Software Engineering, about the danger of large language model data being contaminated by AI-generated content.

Over the past five years, Dutta’s channel has amassed more than 100,000 subscribers. His most popular video—about Markov Chains Clearly Explained—has 1.2 million views.

In a recent preprint paper, faculty and Ph.D. students in RIT’s  ESL Global Cybersecurity Institute, identified issues surrounding generative hate speech in Google’s PaLM2 Large Language Model (LLM), which powers Bard, Google’s answer to ChatGPT. Google was informed about the toxic content generated by PaLM2, and thanks to their responsible approach, have since rectified issues identified by the team in their initial study.