The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope.
Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.
A combination of AI and humans works best in tasks where humans outperform AI and in those that involve creating content.
Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.
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.
2 MIT researchers say we’ve got to rethink mind and machine, product and platform, and core and crowd.
Work against algorithmic bias and climate change challenges “status quo … preoccupied with reproducing itself.”
Henna Karna, EMBA ’18, discusses her journey through academia and her professional career, reflecting on how MIT Sloan's unique mix of quantitative and qualitative learning has influenced her work.
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.
