Ideas and insight about artificial intelligence from MIT Sloan.
Why generative AI needs a creative human touch
To succeed with generative artificial intelligence and extended reality, companies should also harness human creativity, curiosity, and compassion.
Neural net pioneer Geoffrey Hinton sounds the AI alarm
One researcher said he’s concerned about the “existential dangers” of artificial intelligence for humanity.
Study: Industry now dominates AI research
Industry is now leading, and influencing, basic AI research that has traditionally been the domain of academia, according to a new paper.
It’s not too late to rechart the course of technology
In their new book, MIT’s Daron Acemoglu and Simon Johnson argue that society’s powerful gatekeepers need to stop being mesmerized by tech billionaires.
AI-boosted resumes increase the chance of being hired
They also received more offers and higher wages, an experiment finds.
New MIT podcast explores the promise and peril of data
How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
New AI lessons from MIT Sloan Management Review
Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
When does artificial intelligence pay off?
Firms need to be ready to make a significant investment in AI to see any gains, according to a new study.
3 ways to center humans in artificial intelligence efforts
Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.
How companies can pursue ‘positive-sum automation’
To see the benefits of automation, companies need to understand challenges and create more flexible robotic tools.