AI surveillance

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 moving aggressively to evaluate advanced AI systems for national security uses, and the scale of the spending is drawing attention to how deeply classified programs are funding AI development.

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.

Indian Railways is installing AI-enabled CCTV cameras in pantry cars and base kitchens to provide round-the-clock monitoring of food preparation, packaging and supply. The move is aimed at improving hygiene and quality control in railway catering, and the announcement is drawing wide attention and discussion across India about whether it will improve the often-criticised quality of meals served to passengers.

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.

Fast Company has published a piece arguing that society has entered an era of omnipresent suspicion, where distrust of institutions, media, technology and each other has become a default posture shaping business, tech and everyday life. The article examines how constant surveillance, AI-generated content and eroding trust feed this climate.

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.

A civil rights coalition is calling on the US Federal Trade Commission to ban AI-driven surveillance pricing in housing and consumer markets. The practice uses personal data and algorithms to set individualised prices, which the coalition argues discriminates against protected groups and exploits consumers. The appeal raises questions about whether regulators will move to restrict algorithmic price discrimination.

Rights advocates are urging EU member states to go beyond the requirements of the EU AI Act in order to protect people from abusive surveillance practices. The call argues that the new law, while a milestone, does not fully shield individuals from intrusive monitoring technologies, and that national governments should adopt stronger safeguards of their own.