CIO outlook 2020: Building an explainable AI strategy for your company

Building an AI strategy needs to include explainability for complete visibility into machine-generated decisions. Explainable AI ensures there’s a human present in the loop of the AI process, where the machine provides transparent and reliable explanations, and the human can correct the machine in cases where its decisions are wrong. The sooner such an AI … Continue reading “CIO outlook 2020: Building an explainable AI strategy for your company”

Where is AI headed in 2020?

As we reflect on the closing year, many aspects of the 2019 AI journey stand out. Of note – the explainable AI rocket ship has taken off way faster than we anticipated. This is great news for anyone who cares about building responsible and trustworthy AI. The team at Fiddler is prepping for much more … Continue reading “Where is AI headed in 2020?”

Fed Opens Up Alternative Data – More Credit, More Algorithms, More Regulation

A Dec. 4 joint statement released by the Federal Reserve Board, the Consumer Financial Protection Bureau (CFPB), the Federal Deposit Insurance Corporation (FDIC), the National Credit Union Administration (NCUA) and the Comptroller of the Currency (OCC), highlighted the importance of consumer protections in using alternative data (such as cash flow etc.) across a wide range … Continue reading “Fed Opens Up Alternative Data – More Credit, More Algorithms, More Regulation”

Explainable AI goes mainstream. But who should be explaining?

Bias in AI is an issue that has really come to the forefront in recent months — our recent blog post discussed the Apple Card/Goldman Sachs alleged bias issue. And this isn’t an isolated instance: Racial bias in healthcare algorithms and bias in AI for judicial decisions are just a few more examples of rampant … Continue reading “Explainable AI goes mainstream. But who should be explaining?”