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CBS PhD Student Lan Luo looks at AI interpretability

Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence.

Published
January 11, 2023
Publication
Business & Society
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Article Author(s)

Nature

Affiliated Author
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Topic(s)
Artificial Intelligence, Technology, Innovation

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 CBS PhD Student Lan Luo's Technology Initiative insights on AI interpretability As Artificial Intelligence (AI) proliferates across important social institutions, many of the most powerful AI systems available are difficult to interpret for end-users and engineers alike.

The rise of Artificial Intelligence (AI) promises unprecedented advances in many aspects of human life, including public infrastructure, legal systems, and Leadership & Strategy & Strategy. AI systems have made great strides in learning complex patterns from large unstructured datasets, and can be used to make predictions about future outcomes.

 

Publication from: Nature

Read more on AI interpretability below:
 

AI Interpretability

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