AI needs rules and rails: Why governance must move beyond policy
THE SO WHAT
AI governance is shifting from PDF policies to embedded controls — approvals, logging, and guardrails wired into workflows. This week, pick one high-risk use case and move at least one rule from a slide deck into code or configuration.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIWhat's Next After ChatGPT? Fei-Fei Li Has a Plan
A $1B World Labs built around Fei-Fei Li’s thesis that value lies beyond chatbots is a bet that perception, embodiment, and domain-specific systems will be the next margin pools. If you’re still framing AI strategy as “assistant plus RAG,” you’re underweighting where the next decade of defensibility is likely to sit.
Applied AI‘Not every student has someone at home who can help when they get stuck’ — ChatGPT’s smartest new feature for teenagers is refusing to give them what they ask for
Guardrailed ChatGPT for Teens that refuses to just do homework is a template for “structured help” assistants in regulated or sensitive domains. If you’re building AI for education, health, or finance, expect demand — and eventually regulation — for systems that scaffold, not substitute, human judgment.
Applied AINvidia Tries to Spur the AI Boom Into the Future
Nvidia working to extend AI demand into a world where chips are plentiful is a shift from scarcity pricing to usage stimulation. If you’re building on their stack, expect more aggressive incentives to move workloads onto GPUs — and plan for eventual margin compression as supply catches up.
Applied AIWill AI give you the job? Automated hiring tools spark discrimination and secrecy lawsuits
Lawsuits over AI hiring tools are turning opaque screening systems into legal liabilities, not just HR efficiencies. If you’re using algorithmic filters in recruiting or firing, you need audit trails, vendor transparency, and a plan for discovery — or you’re underwriting unknown discrimination risk.