4 new studies about agentic AI from MIT
New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.
New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.
Keeping your technology workforce operating at peak performance is critical to digital business success. Here’s how to motivate and manage tech workers.
A new study from the MIT Sloan School of Management sheds light on a puzzling paradox: Despite AI’s growing accuracy and efficiency, people often prefer human decisions—even when AI performs better.
Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.
Here’s how to align talent, culture, and strategy to create lasting team success, according to private equity exec and WNBA franchise CEO Suzanne Abair.
New research from MIT Sloan finds that generative AI provides culturally distinct responses to the same prompt in different languages.
Two economists offer a framework for thinking about the place of values in the decisions of modern life.
Does generative AI actually enhance creativity in the workplace? The answer is yes — but only for employees who have strong metacognitive strategies, according to new research from Jackson Lu.
Eight research-backed titles covering retirement transitions, artificial intelligence and skills development, and how to build an innovation advantage.
A new book aims to help business leaders separate real AI value from overhyped claims.