Artificial Intelligence

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.

Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.

Experts say those making decisions about AI should engage proactively with policymakers and consider worker voice and well-being.

Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.

Generative AI and financial data are opening up the digital economy to more consumers and small businesses, but crypto concerns remain.