A new MIT Sloan Experts Series talk explains how algorithms and humans can work together to compensate for blind spots and create clearer outcomes.
When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.
Generative AI’s broad accessibility and applicability make it a vital tool for businesses — but those traits can also cause trouble when upskilling employees.
Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.
From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
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A “red light, yellow light, green light” framework can help companies streamline AI governance and decision-making.
Three AI implementation guides from MIT provide research-based insights on AI maturity, which AI tool to use, and the human capabilities that will be even more essential in the future.
Software developers with access to a generative AI tool do more coding and less project management, according to a new study.
MIT Sloan research explores the promise and limits of using AI in medicine, hiring, and creative pursuits.
