The true paradox of the “iPhone socialist”
In his latest column, David Nemer, DTD Lab faculty co-lead, describes the paradox of the 'iPhone socialist' that lies in the capitalist who uses products heavily funded, conceived, and enabled by the state, while denying the crucial role of the public sector throughout the entire innovation chain.
The Measured Body
Mona Sloane, DTD Lab faculty co-lead, and co-authors argue that redesigning motion capture systems to be more representative of real human bodies and movements could make them fairer and more useful for applications such as law enforcement and medical diagnostics.
AI’s Sociological Era
In an introduction to a new Social Science Computer Review Special Issue "What Is Sociological About AI?", Mona Sloane, faculty co-lead of the DTD Lab, outlines how AI’s cultural meanings, material effects, political entanglements, reliance on human labor and data, and embeddedness in status and power make it a fundamentally sociological phenomenon.
Research Spotlight: Building Fair and Secure AI at UVA
In this podcast from AI Exchange @ UVA, Steven L. Johnson, faculty co-lead of the DTD Lab, discusses his work with data science colleague, Tom Hartvigsen, to bridge business, data science, and ethics to improve how humans and AI interact.
On the controversiality of AI: The controversy is not the situation
Mona Sloane, faculty co-lead of the DTD Lab, is among the contributors to a new publication emerging from the Shaping AI project published in Big Data & Society. The piece reflects on a central question that shaped the project: Do public controversies about AI actually matter—and do they meaningfully influence how AI becomes embedded in society?
U.Va.’s Sloane Lab explores how AI is used in the hiring process
A new database launched by the Sloane Lab, led by DTD Lab faculty co-lead Mona Sloane, provides greater transparency into the use of AI in talent acquisition and recruiting.
Making progress is more than making policy – what Mamdani can learn from de Blasio about the politics of urban progress
Nicole West Bassoff, DTD Lab postdoctoral research fellow, comments about New York City politics and governance and identifies three areas in which she says de Blasio's politics fell short.
New Public Database Brings Transparency to AI Tools Used in Hiring
Artificial intelligence is increasingly shaping how people are hired, yet few understand how these systems actually work. A new project from Sloane Lab at the University of Virginia School of Data Science and College of Arts and Sciences aims to change that.
AI at the Crossroads: A Practitioner’s Guide to Community-Centered Solutions
A new State of AI Ethics Report features essays from 58 contributors including Jess Reia, DTD Lab faculty co-lead, and Maria Lungu, DTD Lab postdoctoral research fellow.
Making Bodies: Assumptions in the Design and Validation of Motion Capture Technology
In this new work out at AAAI/AIES, Mona Sloane, DTD Lab faculty co-lead, expands on previous work on assumptions that underpin technology and model design and validation practices.
