Making AI systems more transparent and trustworthy: an interview with Ximing Wen

Ximing Wen, a PhD candidate in Information Science at Drexel University, is developing transparent AI systems that can explain their reasoning and evidence sources, crucial for enhancing trust in applications like healthcare diagnostics. Her work addresses the challenge of creating interpretable models without sacrificing performance, aiming to make AI outputs more reliable and understandable for users.

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