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.

Engineers have developed a stacked AI chip that combines fast and slow processing layers to recognize changes in motion over time. The design pairs layers operating at different speeds, allowing the chip to detect both immediate movement and longer-term patterns. The approach could improve event-based vision systems used in robotics, surveillance and autonomous machines, and is drawing attention among researchers following neuromorphic and edge computing hardware.

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.