I. Elizabeth Kumar Source Confirmed

OverviewAI-generated summary

I. Elizabeth Kumar is a faculty member at John Brown University whose work addresses both the capabilities and limitations of artificial intelligence. She explores explainable AI (XAI) through methods such as Shapley values, while also investigating the ethical and social impacts of algorithms, including issues of fairness and bias. Kumar's research extends to Bayesian modeling, causal inference, and blockchain technology, reflecting an interest in diverse approaches to data analysis and security. Her scholarship includes examination of feature importance methods, with attention to epistemic values and insights from feminist epistemology.

Metrics

• h-index: 5
• Publications: 6
• Citations: 392