Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.

Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.

Security leaders must strengthen their defenses against everyday threats while preparing for potentially devastating attacks. Here’s how to get it done.

Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.

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.

Research topics include analyzing firm behavior, data-driven sequential decision-making, inequality and worker power, and renewable energy integration.

The art of leadership requires putting theories into practice. Painters, musicians, and acrobats can be some of the best teachers.

Indirect emissions that occur along a company’s value chain account for 75% of the organization’s overall emissions, on average. They remain difficult to track.

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

MIT Legatum Center receives gift to continue its mission to advance entrepreneurship and innovation in global growth markets, further expanding its reach and impact.