Three interactive visualizations of machine learning data on transparent datasets are created to promote curiosity and reduce fear of ML among teenagers and diverse audiences.
Explainable Machine Learning in Deployment
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A scoping review of AIES and FAccT literature concludes that AI trustworthiness research prioritizes technical precision over social, ethical, and institutional factors, leaving the sociotechnical nature of AI systems underexplored.
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Towards Interactive Multimodal Representation of ML Functions for Human Understanding of ML
Three interactive visualizations of machine learning data on transparent datasets are created to promote curiosity and reduce fear of ML among teenagers and diverse audiences.
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Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
A scoping review of AIES and FAccT literature concludes that AI trustworthiness research prioritizes technical precision over social, ethical, and institutional factors, leaving the sociotechnical nature of AI systems underexplored.