Attention: we are no longer updating this catalog; for current D&S work, see datasociety.net
Search the catalog...
The Digital Double Shift: How the Flexibility Myth and Therapeutic Maternalism Engender Platform Therapy
Chapter
Routledge
2026-06-22
Authors: Livia Garofalo, Suisui Wang
Subjects: health care,domestic labor,labor,discrimination,teletherapy,platform economy
Methodology:
Summary:
Chapter in Gender and Intersectional Inequalities in the Platform Economy, edited By Paula Rodríguez Modroño, Annarosa Pesole, Ivana Pais: "This book examines different key aspects around new forms of work and gender and intersectional inequalities in platforms, how the platform economy intervenes, changes and reconfigures the organization of work, and the challenges faced by policymakers and workers’ organizations regarding formalization, professionalization, remuneration, quality of work or social protection of platform work.
Including case studies from different countries from the Global North and the Global South, it contributes to a better understanding of how digital platforms are inserting themselves into neoliberal transformations in labour markets, taking advantage of digitization, the commodification of reproductive labour and migrant labour regimes to quickly access a precaritized female migrant workforce with low bargaining power."
Artificial intelligence firms are feasting on Manhattan office space
Press
Gothamist
2026-06-22
Authors: Anuli Akanegbu
Subjects: artificial intelligence,labor,technology industry,New York City
Methodology: comment
Summary:
Affiliate Anuli Akanegbu discussed why AI start-ups are targeting New York City for office space in Gothamist on June 22
Greening AI in the Public Sector: An Introductory Handbook for Procurement
Book
Data & Society Research Institute,GovAI Coalition
2026-06-17
Authors: Hannah Lipstein
Subjects: artificial intelligence,generative artificial intelligence,large language model,climate change,sustainability,energy management,environmental impact assessment
Methodology:
Summary:
Based on 10 months of fieldwork and five months of co-design interviews and focus groups with city staff and green software practitioners, this guide introduces staff and officials to the rapidly developing field of greener computing and suggests entry-level, low-effort actions that can augment a standard procurement process.
The women leading the push against AI data centers
Press
The 19th
2026-06-11
Authors:
Subjects:
Methodology:
Summary:
Meet the Women Leading the People-Powered Push against Data Centers
Press
The 19th
2026-06-11
Authors: Maia Woluchem
Subjects: data center
Methodology: comment
Summary:
Maia Woluchem was featured as a woman leading the people-powered push against data centers in the 19th on June 11, 2026.
Can Anyone Meaningfully Opt-Out of an AI-Driven Future?
Blog post
Data & Society Points
2026-06-10
Authors: Odia Kane
Subjects: artificial intelligence,privacy,health care,research ethics,surveillance,informed consent,right to be forgotten
Methodology:
Summary:
Lessons from Mutual Aid for the Digital Age: Building collective capacity for the future of care
Blog post
Data & Society Points
2026-06-03
Authors: Linda Huber
Subjects: digital infrastructure,digital health,health care,BIPOC,mutual aid
Methodology:
Summary:
Part of our series “Reimagining the Future of Digital Health.”
Why Don’t Americans Welcome AI as much as People in Other Countries?
Press
The Christian Science Monitor
2026-06-01
Authors: Ranjit Singh
Subjects: governance of artificial intelligence
Methodology: comment
Summary:
Ranjit Singh spoke to The Christian Science Monitor on June 1, 2026 about Americans’ growing concerns around AI development, and how other countries around the world are working to ensure that AI development is built with public needs in mind, and as a result, not facing the same degree of concerns.
Make room for women in the rooms where AI policy is decided
Press
Minneapolis Star Tribune
2026-05-29
Authors:
Subjects:
Methodology:
Summary:
How AI Systems Can Misread Domestic Violence
Blog post
Data & Society Points
2026-05-27
Authors: Hawra Rabaan
Subjects: artificial intelligence,digital health,health care,intimate partner violence
Methodology:
Summary:
Flattening complex experiences into datasets can compound harm and undermine healing
Place-based pathways to a viable future
Press
MIT News
2026-05-27
Authors:
Subjects:
Methodology:
Summary:
The Pope's Encyclical on AI Was Important—Now Comes the Hard Part
Press
Tech Policy Press
2026-05-27
Authors:
Subjects:
Methodology:
Summary:
When AI makes you worse at your job
Press
Vox
2026-05-26
Authors: Anna North
Subjects:
Methodology:
Summary:
Women are leading the rebellion against AI data centers
Press
The 19th
2026-05-26
Authors:
Subjects:
Methodology:
Summary:
Fake academic journals are publishing AI-generated papers under real professors' names
Press
NBC News
2026-05-26
Authors:
Subjects:
Methodology:
Summary:
AI job losses are increasing. Are training programs the answer?
Press
The Atlanta Journal-Constitution
2026-05-26
Authors:
Subjects:
Methodology:
Summary:
Engagement-Optimized Care: When LLMs become Mental Health Infrastructure
Academic article
arXiv
2026-05-22
Authors: Briana Vecchione, Meryl Ye, Livia Garofalo, Ranjit Singh
Subjects: artificial intelligence,generative artificial intelligence,digital health,large language model,health care,ethics of artificial intelligence,mental health
Methodology:
Summary:
Abstract: "General-purpose LLMs are increasingly functioning as mental health infrastructure due to gaps in care left by provider shortages, inadequate insurance coverage, social isolation, and stigma around formal help-seeking. This shift poses a distinct problem for AI ethics: systems neither designed nor governed as care technologies are being used as such, while their dominant design incentives optimize for engagement rather than user well-being. We present findings from a qualitative, longitudinal study with 18 US-based participants who use general-purpose LLMs for socioemotional support and participated in one or more of our study phases, including initial interviews, a four-week diary study, focus groups, and exit interviews. Participants turned to LLMs because other forms of support were unavailable, unaffordable, socially costly, or inadequate. As they continued to use these systems, design features such as anthropomorphic cues, default validation, persistent responsiveness, and weak disengagement mechanisms shaped their ongoing reliance. Participants described meaningful support alongside dependency, epistemic distortion through one-sided validation, privacy expectations without corresponding legal protection, and continued use despite awareness of these risks. We argue these dynamics reflect a structurally unfair tradeoff: users accept risks because support is otherwise absent, while available systems are optimized to deepen engagement and lack care-based accountability. The paper makes three contributions: it traces the arc through which LLMs become care infrastructure and identifies distinct ethical tensions at each stage, shifts analysis from turn-based exchanges to longitudinal trajectories of use, and argues that accountability belongs at the design and incentive conditions through which these systems become care infrastructure rather than at the output or crisis-response layer."
Building the Moral Infrastructure of Mental Health AI
Blog post
Data & Society Points
2026-05-20
Authors: Mira D. Vale
Subjects: artificial intelligence,generative artificial intelligence,digital health,health care,mental health
Methodology:
Summary:
Part of our series “Reimagining the Future of Digital Health.”
The Workslop Problem: Why AI Is Making Your Job Harder
Press
Think Different blog
2026-05-13
Authors:
Subjects:
Methodology:
Summary:
Our Statement on the White House’s New Approach to AI Oversight
Article
Data & Society Research Institute
2026-05-06
Authors:
Subjects: artificial intelligence,governance of artificial intelligence,government regulation
Methodology:
Summary:
