Risks of relying too heavily on AI for software development include bias in the data used to train models, cybersecurity ...

As AI continues to play a transformative role in cybersecurity, organizations can no longer afford to maintain the status quo ...

Labour is betting on Humphrey, an AI toolkit named after a Yes Minister character, to drive public sector efficiency ...

AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to ...

The DPA Cyber Skills today for Economic Growth Tomorrow meeting discussed how employers seek changing skills to help them succeed against evolving cyber security challenges.

Seeing a chance to help the cause, some of the biggest names in AI and machine learning—a discipline within the field—recently published a paper called “Tackling Climate Change with Machine ...

A version of this article appeared in the April 2011 issue of Harvard Business Review. Karen Dillon is a former editor of Harvard Business Review and coauthor of The Microstress Effect: How ...