UVA Data Points is a data science podcast from the University of Virginia School of Data Science — the nation's first school of data science. Each episode features UVA faculty, researchers, and leading experts in conversation about the topics defining the field: artificial intelligence, machine learning, data ethics, policy, health data, and responsible innovation.
Whether you're a student, researcher, or professional, UVA Data Points brings you in-depth perspectives from the people advancing data science — and shaping how it impacts society.
Available on Apple Podcasts, Spotify, Amazon Music, and more. Subscribe and join the conversation.
A self-driving car swerves. Someone is hurt, but who’s to blame?
The company? The driver? AI can’t be put on trial. It can’t go to jail, and it can’t feel remorse. So when AI makes a lethal mistake, who answers for it?
That question drives Culpability, an Oprah Book Club Selection by Bruce Holsinger, professor of English at the University of Virginia. He’s joined today by David Danks, professor of philosophy and data science, also at the University of Virginia.
Listen to a medieval literature expert and an AI ethicist discuss this controversial topic, because long before the age of algorithms, scholars were already asking who is responsible for our choices and what we owe to the things we create.
25 Sept 2026
The Science Behind Lung Cancer Screening
Lung cancer remains one of the leading causes of cancer death, in part because it is often detected too late. But deciding who should be screened is more complicated than it might seem.
In this episode of UVA Data Points, Jeffrey Bloom, interim Stevenson Dean of the University of Virginia School of Data Science, and Melinda Aldrich, a cancer epidemiologist at Vanderbilt University, explore how data science is helping researchers better understand lung cancer risk and improve screening decisions. They discuss the role of smoking history, genetics, and environmental exposures; the risks and benefits of screening; and how emerging tools such as AI, medical imaging, biomarkers, and wearable technology could shape the future of early detection.
The conversation also examines a fundamental data science challenge: how do you bring together complex and imperfect data to identify the people most likely to benefit from screening, while avoiding unnecessary tests and their potential harms?
17 Jun 2026
The Future With AI: Policies, Ethics, and Governance
In this episode, we explore the future of artificial intelligence through the lens of policy, ethics, and governance; examining how this rapidly evolving technology is reshaping society and the responsibilities that come with it.
Joining the conversation are Renée Cummings, Professor of Practice in Data Science and a leading voice in AI ethics, and Mona Sloane, Assistant Professor of Data Science and Media Studies, whose work focuses on the intersection of technology and society.
Together, they share insights on how we can guide the development of AI in ways that are responsible, equitable, and grounded in the public interest.
Stay connected with UVA Data Points and UVA School of Data Science
Catch all our latest episodes of UVA Data Points here: https://uvadatapoints.castos.com
Learn more about the UVA School of Data Science: https://datascience.virginia.edu
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
YouTube views
180,629
Score snapshot 15 Sept 2025
Apple Podcasts (US)
5.0 / 5
4 ratings
Spotify
5.0 / 5
5 ratings
Podcast Authority Score: 52 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
57
Social presence
0
YouTube
86
Engagement
32
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