Richard Pace
Navigating AI Transformation: Avoiding The Pitfalls of Algorithmic Sprawl
AI delivers rewards, but the C-suite/Board must address the risks of unchecked algorithmic sprawl diluting returns - governance is crucial.
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Richard Pace
- Jan 30
- 20 min
The Road to Fairer AI Credit Models: Are We Heading in the Right Direction?
My research suggests that LDA credit models may pose risks to early adopters. What research priorities could put us on a more viable path?
231 views
Richard Pace
- Nov 25, 2023
- 29 min
Fool's Gold 3: Do LDA Credit Models Really Improve Fairness?
LDA Credit Models, believed to reduce credit barriers, may instead expand credit access inappropriately, thereby creating risks for lenders.
262 views
Richard Pace
- Oct 25, 2023
- 20 min
Fool's Gold 2: Is There Really a Low-Cost Accuracy-Fairness Trade-off?
The existence of similarly-predictive models with improved fairness is a foundational pillar of algorithmic debiasing. Is it actually true?
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