Chatbots Impersonating Professionals Face New Legislative Scrutiny
Proposed bipartisan legislation aims to hold AI systems accountable when they impersonate licensed professionals like doctors or lawyers.
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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.
What a recent accountability case reveals about AI risk management — the failure mode and the controls that contain it.
The complete absence of environmental harm reporting in mainstream governance outlets will leave organizations entirely unprepared for imminent grid-capacity liability under upcoming AI regulations.
Why this development belongs on every AI governance team's radar this week.
December 2026 regulatory milestones will force model providers into catastrophic over-filtering that degrades benign enterprise tools.
Why this data-privacy development belongs on every AI risk management team's radar this week.