For legal reasons, organisations require a human reviewer of generative AI outputs. But this human oversight must be valued ...

Most conversations about AI ethics begin in the right place, but they stop too soon. They begin with bias, fairness, explainability, privacy, robustness and accountability. That work matters. NIST’s ...

As AI adoption accelerates, enterprises should demonstrate how deliberately they place judgment across the system.

U.S. Army soldiers train with an RQ-28A reconnaissance drone at Fort Leonard Wood, Missouri, in September 2025. (DOD) Recently it was reported that Amazon convened an internal “deep dive” after a ...

As financial institutions accelerate their adoption of artificial intelligence, one principle is emerging as non‑negotiable: Human‑in‑the‑Loop (HITL). Far from being a simple quality‑check mechanism, ...

Ethical by design: Ensuring responsible AI to build trust in the age of intelligent systemsIssued by Eblocks SoftwareJohannesburg, 27 May 2026 OnTrack with eBlocks Software. South African ...