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Explainability in Decision Management

Explainability in Decision Management

In this post, we'll explore explainability in AI-based decision-making and how it contributes to the overall understandability of automated decisions. This is part of our series on what's new in SMARTS™ Washington. What is Explainability? Explainability, broadly...

AI Bias: Examples and Prevention

AI Bias: Examples and Prevention

In this post, we'll explore bias in AI-based decision-making and how organizations can prevent it. This is part of our series on what's new in SMARTS™ Washington. Bias in Human Decision-Making Bias in decision-making is nothing new. Research in psychology,...

Best-in-class Series: Balancing Predictive Power and Regulatory Constraints in Automated Decisions through Decision Trees

Best-in-class Series: Balancing Predictive Power and Regulatory Constraints in Automated Decisions through Decision Trees

[Watch the recording] SMARTS™ Product Spotlight: Interactive Tree Model Decision trees are a type of supervised machine learning algorithm which maps out consequences in a tree-like manner. They enable organizations to leverage the predictive power of machine learning...

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