TL;DR • Religion is protected in many jurisdictions, but is typically not a named field in FS data. ...
TL;DR • Religion is protected in many jurisdictions, but is typically not a named field in FS data. ...
The U.S. National Association of Insurance Commissioners (NAIC) is piloting its AI Systems Evaluatio...
Whether it’s for reassurance, a gut feeling that something’s off, or to manage an unknown, this is a...
TL;DR • Central governance isn’t always enough for algorithmic systems delivered with/by vendors. • ...
TL;DR • The FS AI RMF has useful but scattered expectations on fairness, buried in more than 500 pag...
TL;DR • The final article in a 5-part series. • Part 1 explained triggers for testing and deep dives...
TL;DR • Part 4 of a 5-part series. • Part 1 explained triggers for testing and deep dives: new produ...
TL;DR • Part 3 of a 5-part series. • Part 1 explained triggers for testing and deep dives: new produ...
TL;DR • Part 2 of a 5-part series. • Part 1 outlined how some events clearly trigger deeper dives an...
TL;DR • Part 1 of a 5-part series. • Some events clearly trigger deeper dives and retesting: new pro...
TL;DR • Algorithm/AI definitions are messy, and reference glossaries don’t always agree. • Different...
We already know that ineffective algorithms have a direct monetary impact. But the deeper, longer-la...
“Best practice” gets thrown around a lot in AI and algorithm governance discussions. I hear it often...
This article is a bit long-winded, but there is a point. Bear with me. This week marks 25 years of w...
TL;DR • This featured resource is from the U.S. Treasury. • A new AI Lexicon for financial services....
TL;DR • Evaluate models on performance: Apply the same decision quality standards to your models tha...
TL;DR • UAT often tests for staff workflows, not the actual customer outcome or experience. • BVT ve...
TL;DR • Many significant system errors aren't technical failures; they're business rules that were i...
TL;DR • It’s not a trade-off: We don't have to choose between being ethical and being effective. • A...
TL;DR • Modern tech can help with speed and scale, but doesn’t automatically solve decision quality....