Artificial Intelligence

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.

Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.

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.