The Week Anthropic's Opacity Broke Open
Anthropic’s triple-incident week wasn’t just embarrassing—it opened a window into the most underexamined assumption in AI governance: that ’trust us’ is a safety framework.
AI Transparency
2026
When AI Hype Meets Social Media: Why We Need Better Ways to Verify Breakthrough Claims
Social media’s speed and reach are amplifying AI hype while obscuring the truth about what these systems can actually do.
2025
The AI Black Box Problem: Why Your Next Promotion Might Depend on Algorithmic Transparency
·1075 words·6 mins
When AI algorithms decide who gets hired, promoted, or fired, employees deserve to know how these decisions are made—but most companies aren’t ready for that conversation.
Why Workplace AI Transparency and Worker Voice Are More Urgent Than Ever
·1139 words·6 mins
New research reveals that educating employees about AI doesn’t guarantee acceptance—informed workers often become more resistant. European models show how worker voice and institutional consultation structures can reduce AI anxiety and create more successful implementations.
Prompt Engineering for Explainable AI: Enhancing Transparency and Trust
·311 words·2 mins
Advanced prompt engineering strategies for maximizing AI system effectiveness and accuracy.