Two AI practitioners explain how “Large X models” that turn text into actions may ultimately allow generative AI to water plants and peel potatoes.
MIT’s Daron Acemoglu, David Autor, and Simon Johnson make the case for federal policies to encourage the development of AI that complements workers.
This startup relies on the distributed intelligence of East African farmers for its data.
Behavioral science can help identify who is open to AI-enhanced insights, helping companies hone their customer experience strategy.
Automation and AI can create good jobs, benefit workers, improve productivity, and grow the economy. Here’s how to roll them out right.
Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
Only half of performance gains seen after using a more advanced AI model come from the model itself. The other half come from how users adapted their prompts.
New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
Experts from Salesforce, S&P Global, and Corning share six key strategies to unlock generative AI’s potential without falling for the hype.
The new Question Burst Catalyst tool from MIT Sloan’s Hal Gregersen helps leaders use LLMs as a creative thought partner to help surface ideas that truly matter.
