Category: Expert Articles

This section contains dedicated contributions from ODBMS.ORG’s Panel of Experts.

When Freedom and Authenticity Diverge: James Brusseau on What Philosophy Sees in GenAI That No Other Discipline Does

Q1.  You have written about “acceleration AI ethics” — an approach that argues for using ethics to enable and accelerate GenAI innovation rather than primarily to constrain it, in contrast to the precautionary approach that...

Halving Hallucinations: Jacek Cala on NIC-D’s Breakthrough Research into Graph-Based RAG and What It Means for Enterprise AI

Q1. Your team’s research shows that introducing graph-based tools into a RAG system can significantly increase the precision and recall of factual correctness, halve the number of hallucinated answers, and achieve the highest fine-grained...

Sovereignty Starts with the Hardware: Paul Speciale and Patricia Hillebrand on Building AI Infrastructure Europeans Can Actually Control

Q1 The partnership between Pyramid Computer and Scality sits at the intersection of two trends that are increasingly in tension: the urgency to deploy AI infrastructure quickly, and the growing organizational and regulatory pressure to...

Compliance You Cannot Demonstrate Is Compliance You Do Not Have: Willy Tadema on EN 18286, AI Standards, and What the AI Act Actually Requires

Q1. The publication of EN 18286 — the AI Quality Management System standard — is a significant milestone for organizations trying to operationalize the requirements of the EU AI Act. For a Chief Risk...

The Hybrid Mind: Joseph X. Ng on Human-AI Convergence, the OODA-F Loop, and Why Responsible AI Must Be Structurally Designed — Not Declared

Q1. What failure occurs when AI-assisted decision-making operates without an explicit Feedback layer? The specific failure mode is what I call loop erosion: the system continues to optimize under the assumption that real-world consequences...