Closing out Mental Health Awareness Month, D&S Network Engagement Associate iretiolu spoke to Dr. Sará King about liberatory technology, what she means by “social justice,” and what it looks like to incorporate tech into well-being. datasociety.net/points/the-sci…

Listen to the conversation between co-editors Murali Shanmugavelan ||| முரளி சண்முகவேலன் & Aiha Nguyen; contributors Ambika 🇵🇸, Ludmilla Costhek Abílio, & Ananya Raihan; and two workers interviewed for the project, Fatema Begum & Nicolas Sauza. And read the complete anthology: datasociety.net/library/the-fo…

This spring, we released an anthology that explored platformization from the point of view of precarious gig workers in the Majority World. Now, a new podcast featuring its editors, contributors, and interview subjects offers another angle on the research. listen.datasociety.net/episodes/forma…

“There is, strictly speaking, nothing objectionable to what the Senators propose. The problem is what’s missing. AI’s harms are due not only to the technology’s technical capacity. Indeed, ordinary technologies can produce the same harm as those on the cutting edge.”

3/ To implement AI safeguards, agencies need resources and expertise. Not just technical AI talent but also experts on how their use of the technology will affect society, as Data & Society explain in a new paper👇

datasociety.net/library/ai-gov…

We're delighted to welcome Maia Woluchem as director of our Trustworthy Infrastructures program! She’ll lead research on building trust both on and offline, centering the work of people of color and the experiences of vulnerable communities. Welcome, Maia! datasociety.net/announcements/…

The Senate’s AI policy roadmap fails because it ignores the sociotechnical dimensions of AI, D&S's Brian J. Chen argues. It points to a profound misunderstanding of AI as a strictly technical artifact for which technical safeguards are the only solution. techpolicy.press/why-ai-policy-…

What a brilliant explainer for anyone thinking about the interplay between tech and society.

In AI governance, the misguided yet common framing of sociotechnical 'begins and ends with the technical system' –– from fine-tuning algorithms for fairer outputs to debiasing datasets.

The notion that we must choose between protecting people and fostering 'innovation' is dangerous, write Janet Haven & Catherine Bracy. Other industries have proven otherwise, and 'Americans should expect the tech industry to operate with the same accountability.” thehill.com/opinion/techno…

Great to co-host a fireside chat with our Partner Data & Society on centering impacted communities for beneficial, inclusive AI featuring Keoni Mahelona & Meg Young. See how we're continuing this dialogue with our Global Task Force for Inclusive AI. buff.ly/4bDNUp4

A patchwork of data points reveals an often invisible working class of older gig workers who see the work as a lifeline — or a last resort. As Rest of World reports, it’s a demographic that’s expected to grow in the coming decades. restofworld.org/2024/aging-glo…

“Google and OpenAI seem poised to cause the erosion of the very ecosystem their tools depend on,” Kyle Chayka writes. newyorker.com/culture/infini…