IWB Blog

Throughout history, major advances in science have often followed the invention of new instruments that expanded what scientists could observe and explore.

In a 1963 lecture at Harvard, Clark Kerr coined the term multiversity to describe what the American research university had become in postwar America.

For the past few years, one of the biggest questions surrounding AI agents has been whether they could actually perform useful enterprise work.

“As organizations push to accelerate AI adoption, many leaders are considering a simple idea: Stop treating AI as a tool and start treating it as an employee,” said a recent Harvard Business Review article, “Why You Shouldn’t Treat AI Agents Like Employee…

Hundreds of millions of people are now regularly interacting with systems that can write, analyze, advise, code, and increasingly act on their behalf.

Can AI actually help us become better writers?

Will AI eventually replace software developers?

On August 11, MIT Nobel laureate economist Daron Acemoglu published his latest book, What Happened to Liberal Democracy?

Artificial intelligence is rapidly spreading across the enterprise.

Artificial intelligence is often discussed in terms of faster economic growth, higher productivity, and greater corporate profits.

When I began writing a weekly blog in May of 2005, I expected that artificial intelligence would someday become one of the subjects I would write about.

“The launch of ChatGPT in 2022 ignited the artificial-intelligence boom — and elicited a chorus of warnings from AI bosses of an impending jobs apocalypse,” said The Economist in “Prepare for an AI jobs apocalypse,” the lead article in its May 16 issue.

Earlier this year I wrote a blog about the continuing debate across higher education on whether — and how — university students should be taught to properly use generative AI, “How Should University Students Be Taught the Proper Use of AI.”

Open AI models present an intriguing economic puzzle.

“Much of the effort and attention around AI for the last several years has been around technical developments,” wrote Babson College professor Tom Davenport in a recent Substack post, “The AI World Moves Toward Organizational Deployment.”

A couple of weeks ago I posted “Why AI Can’t Replace Software Engineering,” a blog in which I discussed an important distinction that is often overlooked: software engineering is not synonymous with programming.