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-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.

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.

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.

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 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.

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.

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.