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The ability of a model to duplicate its performance is how machine learning (ML) scientists traditionally justify the validity of their research claims. But according to one graduate student in the College of Information Sciences and Technology (IST), this model performance replicability may not be enough to align ML with the goal of machine learning for social good.
UNIVERSITY PARK, Pa. — Seven tenure-line and one non-tenure-line faculty members from the College of Information Sciences and Technology are among the academic promotions at Penn State, effective July 1, 2024.
The following individuals have been promoted to associate professor and awarded tenure:
Lee Giles, David Reese Professor of Information Sciences and Technology, and Jack Carroll, distinguished professor, were included in the Research.com 2023 Ranking of Best Scientists in Computer Science, published earlier this month.
A story by Sanjana Gautam, a doctoral student of informatics in the College of IST, appeared in Medium on April 27. “From Data Deluge to Privacy Paradox” delves into the complexities of managing personal data, exploring the impact of technological innovations, societal shifts and regulatory landscapes on privacy rights.
Key insights from the story include:
Where: WTAJ-TV, Penn State students showcase AI at All-Sports Museum.
Who: Students from the College of IST’s entrepreneurship and innovation, led by associate teaching professor Betsy Campbell.
Where: The Washington Post, “As the internet gets scarier, more parents keep their kids’ photos offline”
Who: Priya Kumar, assistant professor in the Penn State College of Information Sciences and Technology (IST)
What: Kumar, who studies children’s privacy in relation to digital technologies, was quoted in a story about how families are protecting their privacy online.
Penn State’s One Health Microbiome Center will host the One Health Microbiome Symposium on May 30-31, 2024, at the Huck Life Sciences Building on the University Park campus.
Penn State’s Center for Socially Responsible Artificial Intelligence announced the winners of its first-ever “Bias-a-thon.” The competition, held Nov. 13–16, asked Penn Staters to identify prompts that led popular generative AI tools to produce biased or stereotype-reinforcing outputs.