From MIT, a technically informed approach to governing AI
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In new policy briefs, MIT researchers outline how to regulate large language models, label AI-generated content, and pursue “pro-worker AI.”
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In new policy briefs, MIT researchers outline how to regulate large language models, label AI-generated content, and pursue “pro-worker AI.”
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From self-advocacy to authenticity, 14 women leaders across a range of industries share lessons they’ve learned climbing the career ladder.
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A “red light, yellow light, green light” framework can help companies streamline AI governance and decision-making.
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Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
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Ami Danoff talks punctuality, working with competing personalities, and the importance of making “pit stops” in a career.
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Ideas about how to best deploy generative artificial intelligence, how it will affect the workforce, and how it should be regulated.
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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.
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These 10 startups are using artificial intelligence and machine learning to accelerate digital transformation.
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Here are insights from business leaders, scholars, and scientists that captured the business mood in 2023.
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Employees should know how generative artificial intelligence works, how companies are using it, and how it compares to other advanced analytics tools.