AI surveillance

Walmart says neither the company nor its AI shopping assistant uses customers' personal information to set prices, pushing back on concerns about personalized or surveillance-based pricing at the retail giant. The statement comes amid growing scrutiny of how retailers deploy AI tools and shopper data. It remains unclear whether regulators or consumer groups are investigating the practice.

Classified budget estimates indicate the National Security Agency is paying billions of dollars to test artificial intelligence models, according to a new report. The figures suggest US intelligence agencies are investing heavily in evaluating advanced AI capabilities, prompting debate about the scale of government involvement in the AI sector and its oversight implications.

Big Tech is betting its next wave of growth on smart glasses and AI-powered gadgets, but the products face mounting privacy challenges. Always-on cameras and microphones, combined with AI analysis of everything users see and hear, are drawing scrutiny from regulators and the public over surveillance risks and data collection.

The Pentagon is asking for $30.3 million over five years to develop an AI-powered lie detection system that can analyze body language remotely, without physical contact. The program, called Polygraph Next, is included in the Defense Counterintelligence and Security Agency's 2027 budget request. Commenters are raising concerns about the privacy implications and scientific reliability of automated deception detection, noting that traditional polygraph accuracy is already contested.

An AI researcher is warning that the most serious threat from artificial intelligence is not sci-fi scenarios of robot armies, but the gradual erosion of democratic institutions. The argument is that AI-driven misinformation, surveillance and concentration of power could undermine elections and public debate long before any physical danger materialises. The warning adds to a growing debate about whether AI policy should focus on existential risks or on protecting civic and democratic life.

The Pentagon is asking for $30 million to develop an AI-powered lie detection system, according to MIT Technology Review. The proposal would fund technology that uses artificial intelligence to assess deception, raising questions among readers about the scientific reliability of such tools and the privacy and civil liberties implications of deploying AI lie detectors in security or military screening.

A new report describes an AI model designed to monitor illicit activity on the Bitcoin blockchain, detecting how criminal transactions have evolved from simple transfers into complex, hidden networks designed to evade detection. The story, carried by Bioengineer.org, highlights growing use of machine learning in blockchain forensics as regulators and researchers try to keep pace with increasingly sophisticated laundering techniques.

A new shirt printed with digital camouflage patterns has been unveiled, designed to confuse AI-powered surveillance systems and prevent the wearer from being recognised by facial recognition cameras. Anti-surveillance fashion aims to exploit weaknesses in computer vision, and the release has drawn attention to growing public concern over ubiquitous camera tracking and the reach of automated monitoring in public spaces.

A Texas city has deployed AI-equipped garbage trucks that have flagged some 20,000 homes, reportedly to detect violations such as improper waste disposal or contaminated recycling. The scale of the automated monitoring has drawn attention and questions about privacy and accuracy, with residents and commentators debating whether camera-based enforcement from collection trucks goes too far.