Digital construction comes to the Pacific Northwest: Timber and the landscapes of automation
Megan Wiessner, DTD Lab postdoctoral research fellow, has contributed an article to an Institute of Electrical and Electronics Engineers (IEEE) special issue, "Automation by Design: Politics, Culture and Landscape in an Age of Machines That Learn".
Online propagation of emotions: A study of resharing dynamics on social media following celebrity suicides
Ehsan Nouri, DTD Lab postdoctoral research fellow, co-authors a paper about emotional contagion on social media, particularly following shocking and tragic events, which often unfolds through widespread resharing, amplifying affective responses that are typically intense and negative.
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.
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?
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.
Technopolitics and extremist configurations in the era of digital platforms
David Nemer, DTD Lab faculty co-lead, highlights the role of major tech corporations in fostering neoliberal rationalities that sustain populist and extremist ideologies, calling for a critical understanding of technopolitics and its implications for democracy in a new publication.
Photo Essay in “The Smartification of Everything”
Megan Wiessner, DTD Lab postdoctoral research fellow, has contributed a short photo essay to a new edited volume including case studies on "smart" cities, agriculture, disaster relief, manufacturing and more, from around the world.
