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 journal…

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…

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 f…

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 pla…

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 wo…

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?…

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.Chelsea Peterson-Salahuddin, Irene Solaiman, Jason D'Cruz, Sareeta Amrute tarafından oluşturuldu

Purchase your own copy of Queer Data Studies here: https://bookshop.org/a/14284/9780295751979.Joan Mukogosi, Nikita Shepard, Harris Kornstein, Patrick Keilty tarafından oluşturuldu

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?…

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 l…

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 — whic…

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 f…

As AI presents technical and engineering innovations, the systems present fundamental risks to people, their families, and their communities. Public participation in AI will not be easy. But there are foundational lessons to apply from other domains. Author and legal scholar Michele Gilman’s latest policy brief, Democratizing AI: Principles for Mea…

As a tech platform and a company, Uber has become emblematic of an economic shift toward precarious, low-wage gig work and declining labor standards, which has unfolded under the guise of innovation. But an overlooked dimension of Uber’s rise is how the company capitalized on deeper tensions at the heart of urban politics. In Disrupting DC: The Ris…

"I've always loved the term triple threat: someone who can do research, consulting, and teaching together, consulting being engaged with the world. I knew, yes, I want to be a triple threat. That's been my steadiness, or my purpose, that I've held onto for a long time." - Lindsey Cameron “Creating your own terms for how you want to be in the world …

“I always say that my research, even in the academy, has these parallel interests of thinking about how we make the technology itself more equitable, but then also thinking about -- how do we make the methods, whether they be the design methods or the research methods, more equitable and more accessible?” - Christina Harrington Data & Society launc…

Despite the ban on untouchability 70 years ago, caste, one of the oldest systems of exclusion in the world, is thriving — impacting 1.9 billion people worldwide. And the wreckages of caste are replicated in the US and elsewhere, showing up at work, at school, in housing, and in technology, and forcing countless Dalits to live in fear of being outed…