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MIT researchers argue for a response that goes beyond fighting AI with AI.
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Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.
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New research from MIT Sloan shows that companies can see substantial gains by putting AI to work — with that growth translating into jobs.
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Artificial intelligence has the ability to transform finance, but caution is needed, says the SEC chair. Here are four of Gensler’s takeaways.
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‘We should probably relax about this,’ MIT professor says.
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The use of artificial intelligence to create art raises questions about how credit and responsibility should be allocated.
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Industrial robots do reduce jobs and wages — especially for workers in the automotive industry and certain parts of the country.
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Siemens, Mastercard, and John Deere combine big data with machine learning to improve the customer experience and reduce fraud.
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Machine learning pioneer Andrew Ng argues that focusing on the quality of data fueling AI systems will help unlock its full power.
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Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.
