Data & Society

Visit datasociety.net for to learn more about this Book Talk's speakers, access resources and referenced materials, and to purchase copies of The AI Con and Empire of AI.Purchase copies of these books from our Bookshop:The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want by Emily M. Bender and Alex HannaEmpire of AI: Dreams and Nightmares in Sam Altman’s OpenAI by Karen Hao

Recorded on May 6, 2025 at The Greene Space in NYC Featuring Dr. Julián Posada and Aiha Nguyen Resources and recordings are available here: https://datasociety.net/events/what-is-work-worth/

BooksDeath Glitch: How Techno-Solutionism Fails Us in This Life and Beyond (Tamara Kneese)The Pacific Circuit: A Globalized Account of the Battle for the Soul of an American City (Alexis Madrigal)Blockchain Chicken Farm: And Other Stories of Tech in China's Countryside (Xiaowei Wang)

At the turn of the 20th century, the anti-immigration and eugenics movements used data about marginalized people to fuel racial divisions and political violence under the guise of streamlining society toward the future. Today, as the tech industry champions itself as a global leader of progress and innovation, we are falling into the same trap.On April 10th, Anita Say Chan, author of Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future (UCP 2025 and open access), joined Émile P. Torres and Timnit Gebru for a discussion of the 21st century eugenics revival in big tech and how to resist it in a conversation moderated by Trustworthy Infrastructures Program Director Maia Woluchem. Predatory Data is the first book to draw this direct line between the datafication and prediction techniques of past eugenicists and today’s often violent and extractive “big data” regimes. Torres and Gebru have also extensively studied the second wave of eugenics, identifying a suite of tech-utopian ideologies they call the TESCREAL bundle.Purchase your own copy of Anita Say Chan’s book Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future: https://bookshop.org/a/14284/9780520402843.Learn more about the event at datasociety.net (https://datasociety.net/events/resisting-predatory-data/).

Two years ago, we were told that ‘prompt engineer’ would be a real job — well, it’s not. Is generative AI actually going to replace and transform human labour, or is this just another shallow marketing narrative?In this episode of Computer Says Maybe, host Alix Dunn speaks with Data & Society researchers Aiha Nguyen and Alexandra Mateescu, authors of the primer Generative AI and Labor: Power, Hype, and Value at Work. They discuss how automation is now being used as a threat against workers, and how certain types of labor are being devalued by AI — especially traditionally feminized work like caregiving.Further reading:Generative AI and Labor: Power, Hype, and Value at Work by Aiha Nguyen and Alexandra MateescuBlood in the Machine by Brain MerchantAiha Nguyen is the Program Director for the Labor Futures Initiative at Data & Society where she guides research and engagement. She brings a practitioner's perspective to this role having worked for over a decade in community and worker advocacy and organizing. Her research interests lie at the intersection of labor, technology, and urban studies. She is author of The Constant Boss: Work Under Digital Surveillance and co-author of ‘At the Digital Doorstep: How Customers Use Doorbell Cameras to Manage Delivery Workers’, and ‘Generative AI and Labor: Power, Hype and Value at Work’.Alexandra Mateescu is a researcher on the Labor Futures team at the Data & Society Research Institute, where she investigates the impacts of digital surveillance, AI, and algorithmic power within the workplace. As an ethnographer, her past work has led her to explore the role of worker data and its commodification, the intersections of care labor and digital platforms, automation within service industries, and generative AI in creative industries. She is also a 2024-2025 Fellow at the Siegel Family Endowment.Subscribe to our newsletter to get more stuff than just a podcast — we run events and do other work that you will definitely be interested in!

Physical and digital infrastructures have raised tensions around the world, seeding land disputes, climate effects, and disrupting social fabrics. Yet they are also intertwined with myths of progress, transformation, and speculation. To explore these themes, we were joined by Nia Johnson, Ekene Ijeoma, and Lori Regattieri — academics, practitioners, and artists who are each, in their own way, responding to the ways digital infrastructures are transforming the built, natural, and social environments. In a conversation moderated by Trustworthy Infrastructures Program Director Maia Woluchem, we broke down confrontations between technological infrastructures and local communities and discussed how to  reshape narratives of process, power, change, and futurity.This public panel is part of Connective (t)Issues, a Data & Society workshop organized by the Trustworthy Infrastructures program in partnership with Duke Science & Society. Learn more about the workshop at datasociety.net. https://datasociety.net/announcements/2024/11/20/connective-tissues/

What exactly is generative AI (genAI) red-teaming? What strategies and standards should guide its implementation? And how can it protect the public interest? In this conversation, Lama Ahmad, Camille François, Tarleton Gillespie, Briana Vecchione, and Borhane Blili-Hamelin examined red-teaming’s place in the evolving landscape of genAI evaluation and governance.Our discussion drew on a new report by Data & Society (D&S) and AI Risk and Vulnerability Alliance (ARVA), a nonprofit that aims to empower communities to recognize, diagnose, and manage harmful flaws in AI. The report, Red-Teaming in the Public Interest, investigates how red-teaming methods are being adapted to confront uncertainty about flaws in systems and to encourage public engagement with the evaluation and oversight of genAI systems. Red-teaming offers a flexible approach to uncovering a wide range of problems with genAI models. It also offers new opportunities for incorporating diverse communities into AI governance practices.Ultimately, we hope this report and discussion present a vision of red-teaming as an area of public interest sociotechnical experimentation.Download the report and learn more about the speakers and references at datasociety.net.--00:00 Opening00:12 Welcome and Framing04:48 Panel Introductions09:34 Discussion Overview10:23 Lama Ahmad on The Value of Human Red-Teaming17:37 Tarleton Gillespie on Labor and Content Moderation Antecedents25:03 Briana Vecchione on Participation & Accountability28:25 Camille François on Global Policy and Open-source Infrastructure35:09 Questions and Answers56:39 Final Takeaways

Do you ever wonder how semiconductors (AKA chips) — the things that make up the fine tapestry of modern life — get made? And why does so much chip production bottleneck in Taiwan?Luckily, this is a podcast for nerds like you. Alix was joined this week by Brian Chen from Data & Society, who systematically explains the process of advanced chip manufacture, how its thoroughly entangled in US economic policy, and how Taiwan’s place as the main artery for chips is the product of deep colonial infrastructures.Brian J. Chen is the policy director of Data & Society, leading the organization’s work to shape tech policy. With a background in movement lawyering and legislative and regulatory advocacy, he has worked extensively on issues of economic justice, political economy, and tech governance.Previously, Brian led campaigns to strengthen the labor and employment rights of digital platform workers and other workers in precarious industries. Before that, he led programs to promote democratic accountability in policing, including community oversight over the adoption and use of police technologies.**Subscribe to our newsletter to get more stuff than just a podcast — we run events and do other work that you will definitely be interested in!**

On November 14, in a conversation moderated by Data & Society Senior Researcher Ranjit Singh, Madhumita Murgia and Armin Samii discussed Murgia’s new book, Code Dependent: Living in the Shadow of AI. Together, they explored living with data by describing their journeys into understanding it, reporting on it, and resisting it. While Murgia’s journalistic journey began with tracing the flow of her personal data sold by data brokers, Samii used his expertise as a computer scientist to build UberCheats, an algorithm auditing tool that extracts GPS coordinates from UberEats receipts to calculate the difference between the actual miles a courier traveled and those Uber claimed they did. In Code Dependent, Samii’s story is the focus of a chapter on how data-driven systems come to play the role of the boss.Purchase a copy of Code Dependent: https://bookshop.org/a/14284/9781250867391Learn more at datasociety.net (https://datasociety.net) 

When Data & Society was founded ten years ago, it was rooted in the insight that data-centric technologies have broad and often unseen impacts on society — and that to better understand those impacts and realize technologies that reflect our highest values, we need interdisciplinary, empirical research.Today, the urgency of that vision is palpable: How societies choose to design and govern technology will determine our collective future. On September 26, we celebrated our first decade with our incredible network of alumni, friends, and supporters. Along with reflections from Data & Society Executive Director Janet Haven, Board President Charlton McIlwain, and Founder danah boyd, the program included a panel discussion and lightning talks.00:00 Opening00:10 Welcome | Charlton McIlwain, Board President08:23 Creating a Field | danah boyd, Founder19:37 Lightning Talk: Xiaowei R. Wang27:02 Lightning Talk: Ranjit Singh33:09 Lightning Talk: Zara Rahman38:42 Lightning Talk: Michelle Miller46:00 Acting on What We Know | Alondra Nelson, John Palfrey, Felicia Wong (moderator: Suresh Venkatasubramanian)1:13:47 Creating Our Future | Janet Haven, Executive Director1:25:42 Closing | Charlton McIlwain, Board President

In the United States, Black maternal health is in steep decline. Despite increased awareness and better data about the depths of racial health disparities, outcomes for Black birthing people remain poor. At the same time, a revolution in healthcare technologies is underway, and as they provide care at the frontlines of a crisis, birth workers are figuring out how to make digital health technologies work for them and their patients.In "Establishing Vigilant Care: Data Infrastructures and the Black Birthing Experience," Joan Mukogosi explores how digital health technologies can produce new forms of harm for Black birthing people — by exposing Black patients to carceral systems, creating information silos that impede interoperability, and failing to meet privacy standards. By paying close attention to how clinical contexts and their associated digital technologies impact how care is delivered, this research offers a glimpse into possibilities for improved cohesion between digital health technologies and birth work.Learn more about Data & Society at datasociety.net.

The Formalization of Social Precarities podcast explores platformization from the point of view of precarious gig workers in the Majority World. This conversation was moderated by Aiha Nguyen and Murali Shanmugavelan featuring the voices of Ambika Tandon, Ludmilla Costhek Abílio, and Ananya Raihan. You will also be hearing the experience of two platform workers interviewed for this project: Fatema Begum from Bangladesh and Nicolas Sauza from Brazil. Their voices are narrated in English by Data & Society staff members Iretiolu Akinrinade and Rigoberto Lara Guzmán, respectively. This podcast was edited by Sam Grant.

Data & Society’s report, Doing the Work: Therapeutic Labor, Teletherapy, and the Platformization of Mental Health Care, written by Livia Garofalo, explores how these new arrangements of therapeutic labor are affecting how therapists provide care and make a living in the US. By focusing on the experiences of providers who practice teletherapy and work for digital platforms, our research examines the fundamental tensions that emerge when a profession rooted in clinical expertise, licensing, and training standards meets the dynamics of platformization, productivity incentives, and algorithmic management. In this conversation, we reflected on how technology is changing the conditions of how therapists do their work, on the consequences for the present and future of therapeutic labor, and on how this might be changing our understanding of therapy itself.

Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology?In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power.Learn more about the speakers, series, and references at datasociety.net.

This public keynote was part of Trust Issues, a Data & Society workshop organized by the Trustworthy Infrastructures program. That team includes Sareeta Amrute, Livia Garofalo, Robyn Caplan, Joan Mukogosi, Tiara Roxanne, and Kadija Ferryman.

Purchase your own copy of Queer Data Studies here: https://bookshop.org/a/14284/9780295751979.

Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology?In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power.Learn more about the speakers, series, and references at datasociety.net.

About the SeriesGenerative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology?In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power.Learn more about the speakers, series, and references at datasociety.net.

When people die, they leave behind not only physical belongings, but digital ones. While they might have had specific wishes for what happens to their online profiles and accounts after their deaths, preserving these digital remains is complex and requires specialized forms of care. Because digital remains are attached to corporate platforms — which have control over what online legacies look like and how long they continue — people’s digital afterlives are not necessarily the ones they would have chosen for themselves. On November 16, Tamara Kneese and Tonia Sutherland came together for a conversation about their books, which both foreground death as a site for understanding the social values and power dynamics of our contemporary, platform-saturated world. The conversation between these two authors was moderated by Tamara K. Nopper, senior researcher with Data & Society’s Labor Futures program. Together, they explored death as a site of contestation and transformation.

On October 30, the White House issued its long-awaited executive order on artificial intelligence. We’re heartened by the order’s focus on some of AI’s most pressing real-world harms, and especially encouraged by its commitment to apply mandatory rights-protecting practices to the federal government’s use of AI, drawing heavily from the Blueprint for an AI Bill of Rights. A key issue now will be implementing the order’s directives, and addressing the need to put money and people quickly into action across the federal government to advance a very ambitious plan on a short timeline. Our November 7 at 11 a.m. ET during a special LinkedIn Live event featured analysis of the AI executive order with Data & Society’s Executive Director Janet Haven, Policy Director Brian Chen and two coauthors of the Blueprint for an AI Bill of Rights: D&S Senior Policy Fellow Sorelle Friedler and Brown University Professor and D&S Board Member Suresh Venkatasubramanian. They offered their impressions of the order, considered the implications of guidance from the Office of Management and Budget, and reflected on what’s next for policy and the field.