AI-powered hiring tools are being adopted by companies large and small, promising to streamline recruitment and reduce human bias. But recent investigations have raised serious concerns that these systems may actually amplify discrimination rather than prevent it.

Health and wellness apps have surged in popularity, but their privacy practices are often murky. An analysis of 10 top apps — from fitness trackers to meditation and period-tracking apps — reveals that most collect far more data than necessary and reserve the right to share it with advertisers or data brokers.

Cybersecurity experts are warning about WormGPT, a black-market AI tool designed for criminals. Unlike mainstream AI models that include content filters, WormGPT deliberately omits safeguards, allowing users to generate phishing emails, malware code, and scam scripts at scale.

In 2016, computer scientist Joy Buolamwini made a striking discovery at the MIT Media Lab—facial analysis software could not detect her face unless she wore a white mask, due to biased training data favoring light-skinned individuals.

Artificial intelligence tools are reshaping how companies hire — but not always for the better. Across industries, AI-driven systems promise to make recruitment more efficient, objective, and scalable. Yet recent research highlights that these technologies often replicate or even amplify bias rather than eliminate it.

Almost every website now greets visitors with a cookie consent banner, claiming to offer a choice over tracking. But privacy advocates warn that many of these pop-ups are designed not to inform, but to manipulate. Known as dark patterns, these interfaces use visual tricks to steer users toward accepting all cookies, often burying “reject all” options behind extra clicks, small text, or confusing layouts.

Microsoft has appointed Cari Benn as its new Chief Privacy Officer (CPO), a move seen as a renewed pledge to place privacy and trust at the heart of its global operations.

Europe’s landmark AI Act has officially entered the implementation phase, ushering in one of the world’s most comprehensive frameworks for governing artificial intelligence. The law targets high-risk AI systems, including biometric identification, predictive policing, and AI in critical infrastructure, with strict requirements for transparency, human oversight, and risk assessments.

New Orleans is at the center of a national debate as it considers an ordinance to legalize real-time facial recognition surveillance across the city.