Humanizing artificial intelligence impacts credit and blame
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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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The use of artificial intelligence to create art raises questions about how credit and responsibility should be allocated.
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‘We should probably relax about this,’ MIT professor says.
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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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Siemens, Mastercard, and John Deere combine big data with machine learning to improve the customer experience and reduce fraud.
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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.
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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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Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.
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Carmakers can spend $3 billion on a single design. Machine learning models can streamline the process — and bring fewer duds to market.
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Firms need to be ready to make a significant investment in AI to see any gains, according to a new study.
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Slack CEO Denise Dresser lists five types of AI users you need to know in your organization and offers guidance on how to engage them.