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/14284/9781250867391

Learn 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 Opening
00:10 Welcome | Charlton McIlwain, Board President
08:23 Creating a Field | danah boyd, Founder
19:37 Lightning Talk: Xiaowei R. Wang
27:02 Lightning Talk: Ranjit Singh
33:09 Lightning Talk: Zara Rahman
38:42 Lightning Talk: Michelle Miller
46:00 Acting on What We Know | Alondra Nelson, John Palfrey, Felicia Wong (moderator: Suresh Venkatasubramanian)
1:13:47 Creating Our Future | Janet Haven, Executive Director
1:25:42 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.

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 Series

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.