Artificial Intelligence

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.

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

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.

Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.

In finance, AI can improve efficiency and help executives make strategic decisions, but proper governance is a must.

A combination of AI and humans works best in tasks where humans outperform AI and in those that involve creating content.

Experts from Salesforce, S&P Global, and Corning share six key strategies to unlock generative AI’s potential without falling for the hype.