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Platform Teaches Nonexperts to Use ML


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A representation of Machine Learning.

New research from the Cornell Ann S. Bowers College of Computing and Information Science explores how to help nonexperts effectively, efficiently, and ethically use machine learning algorithms to better enable industries beyond the computing field to harness the power of artificial intelligence.

Credit: becominghuman.ai

An interactive machine learning (ML) platform developed by Cornell University scientists is designed to train nonexperts to use algorithms effectively, efficiently, and ethically.

Cornell's Swati Mishra said, "If we design machine learning tools correctly and give enough agency to people to use them, we can ensure their knowledge gets integrated into the machine learning model."

Said Cornell's Jeff Rzeszotarski, "While our eventual goal is to help novices become advanced machine-learning users, providing some 'training wheels' through transfer learning can help novices immediately employ machine learning for their own tasks."

Added Mishra, “We as researchers and designers have to mitigate user perceptions of what machine learning is. Any interactive tool must help us manage our expectations.”

From Cornell Chronicle
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