AI Governance & Risk

The AI Metric You've Never Heard Of (But Need to Understand)

A technical term called 'FLOPs' is about to become crucial for your HR AI compliance. Here’s what you need to know and what to ask your vendors.

Your AI Strategy Has an ESG Blind Spot

Google's latest environmental impact research tells us why Sustainability Teams must be included in AI implementations.

The Echo in the Machine: Is Your AI Tool Secretly a 23-Year-Old American?

A deep dive into the single data source shaping today's AI tools, and the very real risks this creates for HR and Talent Acquisition leaders.

A practical framework for governing AI in HR

The real competitive edge will not come from who adopts AI the fastest. It will come from who governs them best.

From Vibe to Vexing.

The Seductive Speed of "Vibe Coding" vs. the Sobering Reality of HR GRC.

Beyond Benchmarks: Why Your AI's "Fairness" is a Façade

New research reveals how LLMs, once thought to be neutral, are perpetuating deep-seated economic biases in critical HR functions like salary negotiation.

Beyond Names: Is Your AI Screening for Beauty, Not Brains?

New research reveals how AI recruitment tools are influenced by candidate photos, appearance, and gender, creating hidden biases and unfair outcomes.

The New UK Data Act: A Guide for HR Leaders

The Data Use and Access Act is here. I break down what it really means for HR, from AI governance to your daily data handling.

AI in HR: This week's Top 5 Governance, Risk & Compliance Insights

Don't drown in AI news. I've curated the essential HR AI governance, risk & compliance insights for you.

How Much Water Does Your AI Really Drink?

A landmark study finally gives us the numbers on AI's environmental footprint. Here’s what it means for your vendor checklist.

Unpacking AI Bias: New Research Reinforces My Reality Check

Your AI Recruiter? Turns out they're more like over-confident interns – brilliant at drafting, but worryingly inconsistent and prone to hidden biases.

LLM Reality Check: AI Résumé Screeners are Fast, Fluent, and Fundamentally Unreliable (For Now)