The Clinician’s Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
In a new pre-print co-authored by DTD Lab faculty affiliate, Chirag Agarwal, only 5% of the 136 U.S. clinicians surveyed were willing to let an AI write new prescriptions without their signature. But while the medical establishment is busy drawing a line in the sand over new scripts, Utah is already running a pilot where an AI quietly handles renewals across 192 different drugs.
Addressing Auditing Pitfalls in Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
Automatic Speech Recognition (ASR) systems' growing use warrants robust auditing approaches to ensure equitable transcription quality, especially for people with speech disorders like aphasia who disproportionately depend on ASR. A new paper co-authored by DTD Lab faculty co-lead Mona Sloane proposes a holistic auditing framework and calls on practitioners to implement robust, community-driven practices better suited for the rapidly changing landscape.
Information integrity and the responsibility of application providers in relation to digital advertising
A new article co-authored by Yasmin Curzi, DTD Lab research affiliate, investigates how the emerging concept of information integrity can reorient the parameters of application provider responsibility regarding online advertising. It argues that business models based on algorithmic ranking can compromise the integrity of public space, requiring transparency, observability, and accountability mechanisms from platforms.
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.
