TL;DR • This resource is from NIST (the U.S. National Institute of Standards and Technology). • A gl...

TL;DR • This resource is from NIST (the U.S. National Institute of Standards and Technology). • A gl...
TL;DR • Don’t default to a “standard” or “comprehensive” package. • Start with a simple top-down foc...
TL;DR • Acceptable Use Policies are typically too long and complex for most people to actually read....
TL;DR • Some countries let insurers use sex for pricing/underwriting (as an exemption to discriminat...
TL;DR • A detour from our usual focus. • AI-writing detectors can wrongly label genuine work as AI-g...
TL;DR • Unlike other discrimination categories, Age has/is a single attribute. • It's often visible ...
TL;DR • Disability has 9 key attributes. • Some are visible in data, but most are inferred or hidden...
TL;DR • Sex has eight key attributes, some direct in data, but mostly inferred. • Many attributes ca...
TL;DR • Race has four/five key attributes. • Some racial attributes are easier to spot and manage th...
TL;DR • Protected attributes hide in unstructured data, proxies, and third-party sources. • Knowing ...
TL;DR • A management system standard: covers governance processes, but doesn't ensure integrity or f...
TL;DR • Narrowly applied AI definitions miss the point. • Robodebt showed us that a "simple" system ...
TL;DR • Preventing bias is not just about fairness. • We explore a scenario in credit card customer ...
TL;DR • Even trusted third-party tech can fail suddenly and at scale. • Generative AI providers may ...
TL;DR • Preventing bias is not just about fairness. • We explore a scenario in insurance fraud detec...
TL;DR • This featured resource is from the U.S. National Association of Insurance Commissioners • It...
TL;DR • Checklists help cover the basics and help maintain consistency. • But not everything can be ...
TL;DR • Technical stakeholders need detailed explanations. • Non-technical stakeholders need plain l...
TL;DR • Algorithmic systems create challenges in balancing explainability with privacy and confident...
TL;DR • This is a new monthly feature, with regular articles in other weeks. • This month’s research...