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Unmasking the bias in facial recognition algorithms
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In her new book, computer scientist Joy Buolamwini examines the “power shadows” lurking in the datasets used to train artificial intelligence.
Using data science to forecast clinical trial outcomes
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
Job responsibilities of generative AI leaders
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Heads of generative artificial intelligence help set the course for how a company uses AI, and how it affects workers.
15 quotes to help boost your data and analytics savvy
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Unstructured data, artificial intelligence, and machine learning are fast becoming business requirements. Here is insight from data scientists and practitioners.
The world needs a global AI observatory — here’s why
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A roster of artificial intelligence experts calls for an international body to better identify the risks, opportunities, developments, and possible global effects of AI.
How data fuels the move to smart manufacturing
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The marriage of industrial data, artificial intelligence, and the industrial internet of things promises a new era of flexible product design.
How should AI-generated content be labeled?
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A new study looks at what wording should be used to identify content created by artificial intelligence.
Leading the AI-driven organization
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How to create an artificial intelligence strategy that takes into account key business priorities, organizational data strategy, and employee skills.
The legal issues presented by generative AI
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Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.