"This 2023 analysis correctly predicted that AI audit requirements would create compliance theater without meaningful bias prevention, warnings that have proven increasingly relevant as agent technologies emerge."
The Machine Intelligence Research Institute's latest piece makes a blunt point: nobody controls what these systems become. Engineers discover behaviors after the fact rather than designing them upfront.
Every six months, the rules change. Old playbooks don't work anymore. The only way through is to ask better questions. Here are nine questions that matter for anyone building with AI
OpenAI's GPT-5 made "vibe coding" the new normal. When business leaders go from concept to working prototype in minutes, legal guidance needs to happen at prototype speed, not policy-document speed.
AI systems won't fit our old categories, and our legal frameworks haven't caught up yet.
EDPB guidance demonstrates how structured privacy governance approaches for LLM systems create competitive advantages while ensuring regulatory compliance.
The architectural shift to persistent, structured memory is happening now. Teams building these systems need to classify the memory types their agents require and define the associated governance policies upfront.
The NIST AI RMF shifts AI risk management from abstract principles to a structured, operational process...When AI is ubiquitous, trust matters. The RMF provides a tool for building that trust through continuous improvement.