Our latest publications connect a set of themes that all point to the same challenge: confronting tech power.
An emerging AI Accountability template runs the risk of entrenching power within the tech industry, and undercuts structural solutions.
Structural reforms are key to fixing the harms caused by Big Tech.
Despite mounting evidence of harm and untested scientific claims, biometric systems are still quietly proliferating.
Big tech infrastructures are locking us into an unsustainable future.
Data minimization policies - bright line rules that prohibit excessive or harmful data collection and use - are a tool for AI accountability.
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.
Worker data rights are only a starting point: we’ll need bright-line rules to meaningfully build worker power.
Industry narratives attempt to stave off regulation, but large-scale AI needs more scrutiny, not less.
Regulating Big Tech’s data advantage.
The so-called “AI race” between the US and China is increasingly used to push back against regulatory intervention targeting Big Tech companies.