AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...

Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...

Systems harnessing AI technologies’ potential to distill insights from large amounts of data to provide greater personalization and precision are becoming increasingly ubiquitous, with applications ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andrew Harmel-Law and a panel of expert ...

Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...

People distrust artificial intelligence and in some ways this makes sense. With the desire to create the best performing AI models, many organizations have prioritized complexity over the concepts of ...

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