Article
New Internationalist
2026-03-01
Authors: Livia Garofalo,Maia Woluchem
Subjects: artificial intelligence,infrastructure and economics,data center,post-industrial society,activism,Pennsylvania
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Blog post
Data & Society Points
2026-02-25
Authors: Teanna Barrett
Subjects: artificial intelligence,decolonization,global majority,ethics of artificial intelligence,data sovereignty,Africa
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Blog post
Data & Society Points
2026-02-18
Authors: Ranjit Singh
Subjects: artificial intelligence,generative artificial intelligence,artificial neural network,neuroethology
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Panel,Video,Event
Data & Society Research Institute
2026-02-17
Authors: Anuli Akanegbu, Annabel Rothschild, Tim Newman, Serena Oduro
Subjects: artificial intelligence,public policy,education,labor,future of work,BIPOC,AI literacy,technology industry
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Article
The Atlanta Journal-Constitution
2026-02-16
Authors: Anuli Akanegbu
Subjects: artificial intelligence,governance of artificial intelligence,digital infrastructure,government regulation,AI literacy,digital divide,Atlanta
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Blog post
Data & Society Points
2026-02-09
Authors: Meg Young, Alice E. Marwick, Anuli Akanegbu, Rigoberto Lara Guzmán, Ania Calderon, Janet Haven
Subjects: artificial intelligence,education,young people,AI literacy,civics
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Policy brief,Report
Data & Society Research Institute
2026-02-04
Authors: Anuli Akanegbu
Subjects: artificial intelligence,education,labor,future of work,BIPOC,AI literacy,digital divide,Southern United States,Atlanta
Methodology: interviews,field research,ethnographic methods,semi-structured interviews

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Audio
This Machine Kills
2026-02-03
Authors: Jathan Sadowski, Edward Ongweso Jr., Brian J. Chen
Subjects: artificial intelligence,infrastructure and economics,data center,politics,public policy,energy management,deregulation
Methodology: podcast

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Blog post
Data & Society Points
2026-01-28
Authors: Anuli Akanegbu
Subjects: cybersecurity,education,labor,BIPOC,Atlanta
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Panel,Audio,Video,Event
Data & Society Research Institute
2026-01-22
Authors: Alondra Nelson, Edward Ongweso Jr., Vittoria Elliott, Brian J. Chen
Subjects: artificial intelligence,infrastructure and economics,data center,politics,public policy,supply chain,technology industry,deregulation
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The second Trump administration has launched a full-scale effort to achieve “unchallenged global technological dominance.” It is accelerating the construction of AI infrastructure, from opening up federal lands to ramping up energy production. It has invoked AI-enabled “efficiency” in order to replace federal workers, removed agency guidance on algorithmic discrimination, and supercharged the use of AI in areas including defense and immigration enforcement. The administration has also pursued novel public ownership efforts, such as taking equity in Intel and critical minerals firms. To what end?

Officials say they are now maximizing the “export of the American AI technology stack.” This is not the deregulatory tech agenda predicted by both supporters and critics of President Trump. So what is it?

After a turbulent first year, this discussion featured experts who have been closely monitoring and making sense of the Trump administration’s policies on AI and digital technologies. How should we understand the administration’s actions when it comes to AI? What dynamics are driving these changes in AI policymaking? What might be the downstream consequences for Americans? And how should we respond?

Policy brief
Data & Society Research Institute
2026-01-21
Authors: Brian J. Chen
Subjects: artificial intelligence,infrastructure and economics,data center,public policy,supply chain,technology industry,deregulation
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Blog post
Data & Society Points
2026-01-14
Authors: Ana Carolina de Assis Nunes, Cella Sum
Subjects: artificial intelligence,infrastructure and economics,data center,post-industrial society,Pennsylvania
Methodology: field research

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Blog post
Data & Society Points
2025-12-18
Authors:
Subjects: artificial intelligence,public policy,labor,environmental impact assessment,mental health,chatbot,scams
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Audio,Video,Event
Data & Society Research Institute
2025-12-12
Authors: Eliza Pan, Tamara Kneese, Khari Johnson
Subjects: data center,activism,climate change,environmental justice,technology industry
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In this moment of AI ascendance and data center accelerationism, there are thousands of tech workers who are concerned about the realities of climate change and see the tech industry’s growing role in it — and who are actively working to create change, develop better tools, and organize for collective action. In her report Turning the Tide: Climate Action in and Against Tech, Climate, Technology, and Justice Program Director Tamara Kneese examines the ways these workers have attempted to reform the tech industry from within while applying external forms of pressure through policymaking and activism. By engaging in workplace activism and forming broader coalitions with environmental justice organizations, climate-conscious tech workers who adhere to the organizer mindset use their insider knowledge to advocate for social change rather than technical tweaks. What does that look like in practice?

Report
Data & Society Research Institute
2025-12-10
Authors: Tamara Kneese
Subjects: artificial intelligence,generative artificial intelligence,data center,activism,supply chain,climate change,sustainability,energy management,environmental impact assessment,environmental justice
Methodology: interviews,participatory methods

Summary:
In Turning the Tide: Climate Action In and Against Tech, Tamara Kneese examines how, in a time of AI ascendance and data center accelerationism, tech workers and larger coalitions have attempted to reform the tech industry from within while applying external forms of pressure through policymaking and activism. Based on 12 months of research alongside climate-conscious tech workers (both inside and outside of companies) this report documents how tech-focused climate work gets done today and highlights its political stakes. It concludes with a series of recommendations for how to help close the gap between corporate sustainability metrics and on-the-ground community resistance.

Blog post
Data & Society Points
2025-12-09
Authors: Ranjit Singh
Subjects: artificial intelligence,governance of artificial intelligence,global majority,data sovereignty,Indigenous data sovereignty
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Policy brief
Data & Society Research Institute
2025-12-08
Authors: Ranjit Singh, Briana Vecchione, Livia Garofalo, Meryl Ye
Subjects: artificial intelligence,generative artificial intelligence,governance of artificial intelligence,mental health,chatbot
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In our comment to the Food and Drug Administration (FDA), we draw on ongoing Data & Society research to focus on what people’s actual, everyday use of chatbots for mental and emotional support means for the FDA’s approach to generative AI-enabled digital mental health medical devices. Specifically, we show how chatbot use complicates traditional notions of “intended use,” “benefit-risk,” and “postmarket performance,” and we offer recommendations for how the FDA might adapt its frameworks for devices that act through open-ended, relational conversation.

Audio
Computer Says Maybe
2025-12-05
Authors: Alix Dunn, Megan Price, Janet Haven, Charlton McIlwain
Subjects: artificial intelligence,research ethics,data science,public policy,statistics,sociotechnology,human rights
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On the Computer Says Maybe podcast, Executive Director Janet Haven and Board President Charlton McIlwain sat down with Alix Dunn to discuss the tech industry’s co-opting of academia, how giving the reins to tech oligarchs hurts people, and why independent research is essential in this moment of AI ascendance.

Panel,Video
All Tech is Human
2025-12-04
Authors: Rebekah Tweed, Janet Haven, Stephanie Bell, Zaina Abi Assy
Subjects: artificial intelligence,governance of artificial intelligence,public policy,ethics of artificial intelligence
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"The livestream discussion on All Tech Is Human’s 2025 Responsible AI Impact Report highlighted how Responsible AI has rapidly shifted into mainstream public concern, driven by technological advances, growing societal impacts, and a patchwork of evolving governance efforts. Panelists from Data & Society (Janet Haven), Partnership on AI ( Stephanie Bell), and Mozilla Foundation (Zeina Abi Assy) emphasized that while federal protections in the U.S. have weakened, state-level action, global regulatory momentum, and heightened civic engagement are creating new pathways for accountability."

Blog post
Data & Society Points
2025-12-03
Authors: Tamara Kneese, Cecilia Marrinan
Subjects: data center,public policy,hazardous waste,pollution,environmental impact assessment,Silicon Valley,California
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