AI surveillance

Classified estimates indicate the National Security Agency is spending billions of dollars testing artificial intelligence models. The reported figure points to the scale of US intelligence investment in AI, raising questions about how spy agencies are evaluating commercial models and what they are testing them for.

United Nations University researchers argue that efforts to regulate artificial intelligence should be grounded in human rights law rather than starting from scratch. The piece contends that existing international human rights frameworks already offer states tools to address harms from AI, including discrimination, surveillance and due process concerns. It calls on governments to anchor emerging AI governance rules in rights-based obligations.

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.

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.

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.