Responsible AI Foundation

"I don’t know why it made that decision." This is one of the most dangerous things an AI developer — or regulator — can say. In an age where algorithms recommend treatments, approve or deny loans, influence hiring decisions, and even suggest prison sentences, not knowing why an AI system behaves the way it does is more than a technical limitation — it’s a risk. It can lead to unethical practices, public backlash, regulatory penalties, and in some cases, catastrophic harm. Tha

This article explains how to make that shift from theory to practical and measurable product responsibility.

The summer of 2025 has seen a wave of decisive actions in AI regulation and policy. Nations and global bodies are moving quickly to formalize governance frameworks, publish technical guidelines, and implement oversight measures.