Artificial Intelligence

Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.

While generative AI is widely accessible and useful, businesses need to know when to use other AI tools, like traditional machine learning.

Companies perform better when their boards and executive teams stay current with fast-moving technologies.

A new book looks at how the integration of artificial and human intelligence will impact individuals, organizations, and society.

From assessing bridge infrastructure to predicting worker fatigue risk via voice analysis, these startups are widening the scope of what artificial intelligence can do.

From MIT Sloan experts, practical guidance for launching ventures, shaping strategy, and making innovation work.

Generative artificial intelligence is rapidly emerging as a key foundational platform for new applications. But hurdles remain, according to researchers.

Launching a venture? Here’s advice from MIT entrepreneurs in residence on navigating artificial intelligence, the economy, and uncertainty.

From risk management policies to the five stages of AI ethics, here’s how some organizations approach ethical AI.

Colgate-Palmolive, Sanofi, and other firms are making generative AI work for them in ways both big and (intentionally) small.