A Surveillance Startup in Damage Control | EFFector 37.8
Briefly

EFFector issue 37.8 covers critical topics such as an EFF investigation into AI-generated police reports, a secret deal for selling flight passenger data to federal authorities, and the argument that mass surveillance cannot simply rely on software patches for solutions. Additionally, the newsletter features an audio companion where EFF’s Associate Director of Activism discusses the harmful impacts of Automatic License Plate Readers (ALPRs) and offers advice on how to oppose their usage. EFF aims to inform readers about the challenges at the intersection of technology, civil liberties, and human rights.
EFF's recent investigation reveals serious concerns regarding AI-generated police reports, highlighting the need for careful scrutiny and regulation in the implementation of AI in law enforcement.
A secret deal has surfaced involving data brokers selling flight passenger data to federal agencies, raising significant privacy issues and questioning the ethical implications of such transactions.
Mass surveillance is an intricate challenge that cannot be addressed with simple software patches; comprehensive reform is essential to protect citizens' rights and privacy.
Sarah Hamid discusses the detrimental effects of Automated License Plate Readers (ALPRs) and provides actionable steps individuals can take to combat their negative impacts.
Read at Electronic Frontier Foundation
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