Expert analysis and perspectives on AI safety and governance
How a multinational bank deployed AI risk management with RAIL Score to achieve regulatory compliance and reduce false positives by 67%.
How a hospital network reduced AI diagnostic errors by 73% with continuous safety monitoring across 50,000+ monthly diagnoses.
How a Fortune 500 retailer eliminated toxic chatbot responses and reduced escalations by 58% while protecting 2M+ monthly interactions.
How a marketplace platform eliminated 97% of fake reviews while reducing false positives by 98% across 500K+ daily submissions.
How a global law firm achieved 85% faster contract reviews while eliminating AI hallucinations and maintaining malpractice-proof accuracy.
Documented cases including Workday lawsuit, iTutorGroup settlement, and EEOC enforcement with prevention strategies.
Practical framework for implementing AI governance at scale including NIST AI RMF and real-world best practices.
Comprehensive guide to EU AI Act requirements, risk tiers, deadlines, and practical compliance strategies.
Documented cases of AI failures across industries and what they teach us about AI safety.
An in-depth analysis of how organizations are navigating the evolving landscape of AI safety, from regulatory compliance to technical implementation.
Coming soonStay ahead of AI safety trends, regulatory changes, and best practices in responsible AI development.