Artificial Intelligence

The future of AI looks much like the present, with machines helping humans to do their jobs better, not replacing them.

Leaders at the forefront of making organizations AI-driven have seven key attributes.

Companies see investment in data capabilities as the only way to compete.

AI technology is not just an experiment.

A conversation with Airbnb’s Theresa Johnson highlights three tangible ways AI can help companies.

AI’s largest and most enduring contributions will be in non-technology sectors, and many of them will come from China.

Technology leaders need to take a new approach to regain user trust.

Early adopters of artificial intelligence will divvy up a global profit pool valued at $1 trillion.

Innovation-focused adopters of AI are positioning themselves for growth, which tends to stimulate jobs.

As smart technologies embed deeper into human processes, a more powerful form of collaboration is emerging.

Using AI to create humanlike computers is a shortsighted goal.

The fundamental disruption introduced by AlphaZero’s hyperlearning in the chess world can teach business executives about AI.

This MIT SMR webinar offers strategies for how to get the most out of AI’s potential.

Deploying AI is very different from implementing standard software — and human input is essential.

Companies should work toward incorporating AI-driven chatbots that use natural language.

Aspiring leaders need to harbor healthy skepticism of the digital technologies they champion.

New technology-driven business models are undercutting the traditional advantages of economies of scale.

Robots that use body language can have a positive effect on their human colleagues.

Microsoft has launched a $50 million initiative to figure out ways to help AI “save the world.”

The most valuable contributions of AI to the economy may be as an adjunct to advancing discoveries.