Retrieval quality is often discussed like a tuning problem.
Improve chunking. Improve ranking. Improve metadata. Improve the prompts wrapped around the retrieved context. All of that matters. But once …
AI Appreciation Day falls on July 16th. It began informally around 2013 among academic researchers, hobbyist communities, and early machine learning enthusiasts who wanted a day to share genuinely …
Most organizations now have some language about responsible AI.
Far fewer have a credible answer to a simpler question: what happens when an AI system causes a production problem on a Tuesday …
Most AI governance programs are strongest at the exact moment the system is least exposed.
Before launch, organizations know how to look serious. They can write principles. They can create review …
The industry still talks about AI governance like the hardest part is agreeing on principles before launch. Recent work from NIST and OpenAI points to a different reality: the difficult part starts …
Today is Earth Day, which means it’s time to feel guilty about your carbon footprint and grateful for the carbon offset subscriptions, green energy apps, and sustainability platforms that will …
Most enterprise AI governance frameworks are elaborate exercises in checkbox compliance that miss the actual risks. They’re designed to satisfy auditors and executives, not to manage the …
Zero Trust is the right model. It is also reliably failing to take hold in most large enterprise environments. Those two things are not in conflict.
The model is correct: never trust the network, …
Model risk management has a well-documented history in financial services. SR 11-7, the Federal Reserve’s 2011 guidance on model risk management, established a framework that influenced how …
