When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.
A panel of practitioners explores how to solve worker shortages and offers three best practices for success.
To see the benefits of automation, companies need to understand challenges and create more flexible robotic tools.
A report from the MIT Working Group on Generative AI & the Work of the Future identifies three principles and seven outcomes that ensure that jobs are better, not just faster, with AI.
New research finds privacy protections preserve most social science findings amid growing census data debate
AI systems hold the promise of competitive advantage, but they can usher in cognitive decline among workers, says MIT Sloan School of Management’s Eric So. Learn how to protect cognitive capital.
Here’s what businesses need to know as AI agents move from centralized systems toward a decentralized network of trillions of personal and organizational agents.
Enterprises must address complex ethical issues surrounding AI or risk exposure to myriad financial, legal, and reputational risks. Here’s a framework to protect your organization.
Market research is essentially a prediction problem. MIT Sloan’s John Horton says organizations should consider using generative AI to simulate the effects of their decisions before they make them.
MIT Sloan professor Andrew Lo says Al is good at explaining trade-offs and exploring scenarios but weak at precise tax optimization, math, and regulatory compliance.
