Which AI risks could cause the most harm in the next five years? New MIT research shows that businesses should be aware of threats like competitive pressure and dangerous AI capabilities.
How to create an artificial intelligence strategy that takes into account key business priorities, organizational data strategy, and employee skills.
The OpenAI CEO talks artificial intelligence and regulation, AI and bias, AI and daily life, and more. For many reasons, he’s optimistic.
MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
At food service company Sysco, generative artificial intelligence is another tool that optimizes sales, processes, and supply chains.
We are in the fourth wave of artificial intelligence. In his new book, Alex Pentland says understanding AI from the 1960s, 1980s, and 2000s can help us develop technology that supports shared wisdom.
Leaders from Google, ING, and Capital One advise avoiding the “gold rush mentality” around artificial intelligence and following these six steps instead.
How does access to a generative AI tool affect work in a call center? That was a research question addressed by MIT Sloan Professor Danielle Li at a recent session of the MIT Institute for Work and Employment Research (IWER) weekly seminar series.
Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.
