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.

When you sign up for a new app or platform, you’re often asked to “agree” to the terms of service and privacy policies. But what does that consent mean, and is it meaningful?

AI chatbots have become a daily fixture, from customer support and virtual assistants to AI companions. But behind their smooth conversations lies a complex system that even their creators sometimes struggle to fully explain. This opacity is what many refer to as the “black box” problem in AI: we see the inputs and outputs, but not always the logic in between.

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.

Despite growing public awareness and new privacy laws, data broker companies that buy, sell, and aggregate personal information continue to thrive. These firms compile data from credit reports, social media, app usage, and even offline purchases, building profiles that can include thousands of data points per person.

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.

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.

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.