AI newsThe story, in brief

Giving your AI a Job Interview

Everyone is building AI agents. Nobody is talking about how to interview them before they make critical decisions.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI moves from tool to advisor, leaders need systematic frameworks to evaluate AI reliability and judgment before deploying it in decision-making roles. This shift requires treating AI assessment like executive hiring.

The key facts

3 to know
  1. AI advice becoming increasingly important in business decisions

  2. Need for systematic AI assessment frameworks

  3. Shift from AI as tool to AI as decision advisor

Go to the source

One Useful Thing (Ethan Mollick)oneusefulthing.org

Publisher excerpt: As AI advice becomes more important, we are going to need to get better at assessing it
Read original report
Back to today's editionMore AI news

The wider picture

View all
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Agents01

You too Google! Google Confirms Gemini Breached 3 Companies in AI Security Tests

Agent security vulnerabilities are real and happening at scale. Disclosure delays and inconsistent vulnerability-reporting practices across labs create systemic risk for enterprises deploying or evaluating agentic systems.

MarkTechPost
Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
AI illustration by KeyNews
Work02

Pacing AI won’t solve the governance gap

Opinion piece arguing that 'pacing' AI development won't bridge the fundamental trust and verification gaps that plague international AI governance — a timely policy read as governments attempt to coordinate on frontier labs and safety.

SiliconAngle
Illustration of a transparent lens revealing connected networks across layers of paper.
AI illustration by KeyNews
Tools03

Dynamic model routing will follow the path blazed by software-defined wide-area networks

Dynamic model routing — intelligently directing requests across multiple AI models based on cost, latency, and capability — is moving from niche optimization to mainstream infrastructure. Stripe's acquisition validates the category and signals that enterprises will soon expect this routing logic as table stakes, much like SD-WAN did for networking.

SiliconAngle