Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture
A new pre-print co-authored by Mona Sloane, DTD Lab faculty co-lead, argues that AI auditing is best done through a contextual audit - a method for auditing measurements within the context of the practices that produce them. This method enables the interrogation of assumptions implicit in the audit process and allows auditors to be explicit about what serves as ground truth, defined as verifiable measurements about the real world against which systems are evaluated.
Mona Sloane joins U.Va. Law for a discussion of her book on AI and sociology
The School of Law hosted a book panel co-sponsored by the LawTech Center and DTD Lab celebrating the launch of Predicted: How AI Is Restructuring Social Life, a new book by Mona Sloane, DTD Lab faculty co-lead.
Meta Settlement a ‘Pittance,’ Law Professor Says
Meta’s settlement is a “pittance” relative to the company’s profits, according to Danielle Citron, DTD Lab faculty affiliate. She argues the bigger question is whether new protections for teenage Facebook and Instagram users will actually work, questioning a framework that relies heavily on parents to enforce limits and warning that teenagers may find ways around the restrictions.
Platform Economies Research Network – August Salon with Mona Sloane
Mona Sloane, DTD Lab faculty co-lead, was the featured guest on the Platform Economies Research Network's August Salon, where she discussed her new book Predicted: How AI is Restructuring Social Life, debating the tensions between the social and the technical, her idea of AI as a linear time regime, and the relationship between practices and infrastructures.
TikTok encourages creators to produce videos about Augusto Cury
The topic appears among the top 10 "inspiration" topics on the platform and has garnered over 75 million views. Yasmin Curzi, DTD Lab research affiliate, points out that the platform's action in giving explicit emphasis to a candidacy constitutes a direct violation of the electoral rule of equal conditions.
How AI is influencing society with Dr Mona Sloane
In a recent episode of the London School of Economics and Political Science's The Ballpark, The Phelan US Centre spoke to Mona Sloane, DTD Lab faculty co-lead, about the societal dimensions of AI’s influence, how these relate to AI accountability and transparency, and the current challenges facing AI regulators.
Bets lead to property and physical violence against women in favelas, research indicates
David Nemer, DTD Lab faculty co-lead, spoke about his research and upcoming book on bets in Brazilian favelas, focusing especially on gender issues and the relationships between betting, domestic violence and inequality.
Those investigated for spreading misinformation and attempting a coup will remain active on social media in 2026
At least ten individuals targeted by investigations in the Supreme Federal Court and the Superior Electoral Court in past elections continue to publish content about this year's election. Yasmin Curzi, DTD Lab research affiliate, highlights the lack of transparency and the inconsistent compliance with removal decisions by the social media platforms themselves.
Q&A: Will Meta’s $17 billion settlement make social media safer for kids?
Danielle Citron, DTD Lab faculty affiliate, was featured in UVA Today's recent Q&A on Meta's $17 billion settlement over claims that Facebook and Instagram were designed to be addictive to children and teens. The conversation helps to break down the settlement, outline skepticism about how far it goes to protect kids' data, and what it signals for the future of tech accountability.
How bots and fake profiles try to influence conversations about elections on social media
A series of videos from g1 explains the main themes of the 2026 elections. Yasmin Curzi, DTD Lab research affiliate, clarifies that the interference of bots in the public debate works mainly as confirmation bias, influencing individuals who already have a defined political spectrum.
