AI governance, regulation, strategy, and practice developments from monitored sources.
Australian AI workforce capability gap is widening: 77% of tech workers lack at least one required digital skill.
Griffith University WIL students built a working prototype integrating drone telemetry, AI object detection, and ATAK mapping.
Australian firm KJR and Datarwe built an LLM-based hospital billing tool with auditable, evidence-linked outputs.
KJR's VDML methodology embeds AI validation and governance throughout the development lifecycle, not just at deployment.
Australia's Social Media Minimum Age Act commenced December 2025; early implementation reveals inconsistent platform compliance.
KJR served as Test & Evaluation Partner for Australia's Age Assurance Technology Trial, sharing governance lessons.
KJR argues AI governance must be operationalised through testing, not treated as a compliance documentation exercise.
KJR's VDML methodology embeds AI validation across the full machine learning lifecycle, from problem definition to production monitoring.
KJR outlines how AI and test automation can be applied in safety-critical rail systems without compromising assurance.
KJR has received Great Place to Work® certification and ranked 15th in Australia's Best Workplaces in Technology 2026.
KJR, an Australian quality engineering consultancy, explains AI governance as lifecycle-based oversight covering bias, explainability, and continuous monitoring.
KJR outlines a structured enterprise framework for testing and assuring LLM-powered systems across regulated sectors.
KJR and Delos Delta reflect on AI governance gaps in Australian local government as of 2025.
KJR outlines AI model drift as a post-deployment risk requiring continuous assurance, not just one-time validation.