Our Recent Work
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Advancing Racial Equity Through Technology Policy
Julia Rhodes Davis, Eliza McCullough, Sarah Treuhaft, and Rachel Gichinga
Sep 28, 2023
Zero Trust AI Governance
Accountable Tech, AI Now Institute, EPIC
Aug 10, 2023
Climate Justice and Labor Rights | Part I: AI Supply Chains and Workflows
Tamara Kneese
Aug 2, 2023
Democratize AI? How the Proposed National AI Research Resource Falls short
AI Now Institute and Data & Society Research Institute
Oct 5, 2021
2023 Landscape
CONFRONTING TECH POWER
Our latest annual report diagnoses concentration of power in the tech industry as a pressing challenge – and points the path forward to seize this moment of change.
Read our report
Explore our Research Areas:
Key Measures to Combat Tech Power
Algorithmic Accountability
An emerging AI Accountability template runs the risk of entrenching power within the tech industry, and undercuts structural solutions.
Antitrust
Structural reforms are key to fixing the harms caused by Big Tech.
Biometrics & Affect
Despite mounting evidence of harm and untested scientific claims, biometric systems are still quietly proliferating.
Climate
Big tech infrastructures are locking us into an unsustainable future.
Global Digital Trade
Global trade laws are typically negotiated in secret and without public deliberation, and have become a focus for intense tech industry lobbying for preferential treatment.
Underexplored Policy Windows
Labor & Tech
Worker data rights are only a starting point: we’ll need bright-line rules to meaningfully build worker power.
Large-Scale AI Models
Industry narratives attempt to stave off regulation, but large-scale AI needs more scrutiny, not less.
Privacy & Competition
Regulating Big Tech’s data advantage.
US/China AI Race
The so-called “AI race” between the US and China is increasingly used to push back against regulatory intervention targeting Big Tech companies.
Data Minimization as a Tool for AI Accountability
Data minimization policies – bright line rules that prohibit excessive or harmful data collection and use – are a tool for AI accountability.