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.

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.

Phishing is the practice of tricking people into revealing sensitive information, and has long been a top cyber threat. But in 2025, phishing has entered a new era: attackers are now using AI tools to generate highly convincing and customized phishing messages at scale.

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.

In early 2025, TikTok quietly updated its privacy policy for users in the U.S. and Europe. The changes, buried deep in the fine print, outline broader data-sharing arrangements with its parent company ByteDance, as well as unnamed “business partners.” Privacy advocates warn that these updates could expose users to greater tracking, profiling, and potential government access.

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.

A new IBM global study highlights a troubling gap between AI policy rhetoric and real-world governance. Although 80% of executives say AI governance is critical to responsible innovation, only 20-30% have put robust practices in place.

Meta’s standalone AI chatbot has ignited privacy concerns after users discovered their private conversations appearing in the public “Discover” feed. Given sensitive topics like mental health struggles, relationship difficulties, sexuality, and political opinions, many users mistakenly believed their content was private.