Search Results for author: Jonathan Z. Bakdash

Found 2 papers, 0 papers with code

Using AI Uncertainty Quantification to Improve Human Decision-Making

no code implementations19 Sep 2023 Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu

These results indicate that implementing high quality, instance-level UQ for AI may improve decision-making with real systems compared to AI predictions alone.

Decision Making Uncertainty Quantification

Does Explainable Artificial Intelligence Improve Human Decision-Making?

no code implementations19 Jun 2020 Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu

Explainable AI provides insight into the "why" for model predictions, offering potential for users to better understand and trust a model, and to recognize and correct AI predictions that are incorrect.

Decision Making Explainable artificial intelligence

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