The rise of accountable AI agents: How knowledge graphs solve the autonomy problem

Our CEO, Dr. Jans Aasman, just published a new piece on Data Science Central — and it’s a must-read for anyone following the fast-moving world of AI agents and Knowledge Graphs.

In the article, Jans cuts through the hype to ask an important question: what happens when autonomous AI systems start making decisions on their own — and no one can explain why?

The answer, he argues, is accountability — and that’s where Knowledge Graphs come in. By giving agents a shared, semantically rich context (and a memory of every action they take), Knowledge Graphs make it possible to track, audit, and govern AI behavior.

Instead of “black-box” autonomy, Jans envisions a world of Accountable AI Agents — systems that are powerful and explainable, collaborative and controlled.

It’s a quick, insightful read that captures the future of Neuro-Symbolic and Agentic AI better than anything else out there.

Read the full article on Data Science Central