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Assistant Professor Kelsey Lyberger in CISA’s School of Applied Sciences and Arts joins Associate Teaching Professor Adam Pacton, CISA’s dean’s fellow for AI literacy and integration, also in the School of Applied Sciences and Arts, to explore the intersection and rapid evolution of research, coding and artificial intelligence.

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Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity by Domenico Cotroneo, Cristina Improta, Pietro Liguori
arXiv
“We find that AI-generated code is generally simpler and more repetitive, yet more prone to unused constructs and hardcoded debugging, while human-written code exhibits greater structural complexity and a higher concentration of maintainability issues.”

Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook -- a Grey Literature Review by Ahmed Fawzy, Amjed Tahir, Kelly Blincoe
arXiv
“We argue that vibe coding lowers barriers and accelerates prototyping, but at the cost of reliability and maintainability. These insights carry implications for tool designers and software development teams. Understanding how vibe coding is practiced today is crucial for guiding its responsible use and preventing a broader QA crisis in AI-assisted development.”

Artificial intelligence helps drive new frontiers in ecology by Niki Wilson
BioScience
“AI is allowing scientists to build predictive models with the potential to revolutionize ecology and the environmental sciences, parallel to the way statistics transformed these disciplines in the twentieth century.”