California would save billions of dollars while meeting climate goals, according to new MIT Sloan research
A collaboration between MIT Sloan, Boston Children’s Hospital, Columbia University, and the N=1 Collaborative is focusing on how to make gene and cell therapy more affordable and accessible.
New MIT Sloan research offers a framework of human-intensive capabilities and a set of metrics to evaluate tasks across all occupations and better understand the effects of AI on the labor market.
An AI productivity boom is coming. Here’s what managers need to know to roll out intelligent technology that’s ethical and worker-centric.
New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
Generative AI can boost highly skilled worker productivity, if organizations establish a culture of accountability and encourage role reconfiguration.
Ideas about how to best deploy generative artificial intelligence, how it will affect the workforce, and how it should be regulated.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
A study of consultants found that employees use generative AI three different ways. Each has different implications for on-the-job learning.
Generative AI’s broad accessibility and applicability make it a vital tool for businesses — but those traits can also cause trouble when upskilling employees.
