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.

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.

AI is transforming consumer lending, promising faster credit decisions and greater access. But the reality is more complicated. Many AI-based scoring systems rely on alternative data — utility payments, online behavior, even social media activity — to predict creditworthiness.

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.

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.

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.

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.

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.