Require Police to Get a Warrant to Search ALPR Data
EFF argues police should be required to obtain warrants before searching automated license plate reader data, citing misuse for profiling and harassment.
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EFF argues police should be required to obtain warrants before searching automated license plate reader data, citing misuse for profiling and harassment.
IEEE's 2025 Social Impact Report highlights member initiatives including collaboration with Indonesian policymakers on child online safety regulation, and launch of the Mobile Outreach Vehicle program in India.
Privacy Badger, EFF's free tracker-blocking browser extension used by over 4 million people, is now available for Safari on macOS (version 26.5 and higher).
IEEE describes services supporting cities adopting smart technologies for traffic, waste management, and AI systems, while addressing persistent challenges in privacy, governance, and citizen engagement.
Federal court denies Trump administration's motion to dismiss lawsuit against mass surveillance of noncitizens' social media using AI tools.
EFF and ACLU of Wisconsin filed a petition asking the state Supreme Court to require warrants for retrospective searches of Automated License Plate Reader databases used by law enforcement.
A DHS inspector general audit found that the TSA failed to properly safeguard passenger biometric data collected through its facial recognition system for identity verification.
A California court dismissed EFF's challenge to San Jose's automated license plate reader surveillance system, a decision EFF says wrongly underestimates privacy harms and will appeal.
Analysis of unlawful federal data consolidation practices over the past two years involving government agencies, with concerns about privacy violations and weaponization of personal data against vulnerable groups.
EFF examines global age verification policies for social media and digital services, highlighting risks for people unable to provide identity documents and threats to internet access.
EFF's Opt Out October campaign encourages users to reclaim data control by finding alternative software and leaving tech-giant platforms.
DraftKings uses AI and machine learning on customer betting data to target vulnerable gamblers with promotions designed to lure losing betters back to the platform for profit.