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.

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.

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.

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?

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.

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.

In a significant development within the 2025 federal budget bill, lawmakers have proposed a 10-year moratorium on state-level AI regulation. This provision, supported by major tech lobbying groups and some Republican legislators, aims to establish a uniform national standard for AI governance. Proponents argue that avoiding a fragmented regulatory patchwork will reduce legal complexity and foster innovation and economic competitiveness.

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.