316 free articles on AI governance and AI risk management: EU AI Act, NIST AI RMF, ISO 42001, incidents, deadlines and practical controls. New posts daily. Subscribe by RSS.
An AI scam using deepfake audio impersonated officials to extort money, exposing a critical governance failure in synthetic media oversight.
A late-night segment about jokes a model will not tell is a live demonstration of how training data skew turns into inconsistent output, and it maps onto the same failure mode that has cost banks, recruiters and risk-scoring vendors real money.
Seth Meyers talked about jokes he will not tell because of how AI systems handle race. The segment is not an incident. The way it gets logged as one is.
When AI systems follow hidden commands, they can become unwitting accomplices to data theft.
The gap between rising generative AI incidents and zero reported overreliance cases suggests organizations are deploying powerful systems without proper safety protocols.
Proposed bipartisan legislation aims to hold AI systems accountable when they impersonate licensed professionals like doctors or lawyers.
A recent spike in reported privacy incidents is distracting organizations from an equally sharp rise in critical severity incidents, creating a dangerous blind spot.
The AI risk management lesson hiding inside a data-privacy headline — and what to do about it.
The total lack of robustness incident stories in public databases proves that standard risk registers miss operational degradation under load.
A September 2026 ITIF blog argues the EU AI Act's compliance burden is throttling American AI firms. The governance lesson is not that the law is wrong — it is that most firms are treating compliance as a one-time filing rather than a live control system.
A technical briefing on AI risk management — frameworks, controls, and failure modes.
Major banks are warning that autonomous shopping assistants create new fraud risks, which means risk teams need to rethink how customer-facing AI is authorized to act.
The decline in reported AI safety incidents is an illusion caused by teams moving those failures into privacy silos to avoid mandatory disclosures.
What our scouts found across 37,498 open AI agents and MCP servers in the week of 14 September 2026 to 20 September 2026: who is doing the basics well, what we held back, and how the ecosystem measures up.
A voluntary safety pledge is not a control. If the UK moves to binding rules, the real test is whether they reach prompt injection and the tool calls an agent makes on its own.
Regulatory emphasis on privacy is causing organizations to neglect fundamental AI safety and robustness measures, creating hidden risks.
A grounded look at AI risk management for the agentic era — and what to do next.
This week's posts highlight the growing regulatory landscape and the critical risks organizations must address now.
Behind the safety news: the AI risk management gaps it exposes, and how to close them.
Our focus on privacy and security while ignoring overreliance and robustness failures creates dangerous vulnerabilities in AI governance.
A military simulation tool hallucinated a target location during a real-time operation, exposing a critical gap in how we ground AI systems in verified data.
OSFI's model risk guideline lands seven months before the EU AI Act's high-risk rules, and it will set the standard for AI validation everywhere else.
A real data-privacy story, decoded for AI risk management — and the concrete controls it points to.
Why this fairness development belongs on every AI governance team's radar this week.