MIT Sloan Faculty in the News
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AI might not be coming for lawyers' jobs anytime soon
"I will expect some impact on the legal profession's labor market, but not major," said assistant professor Mert Demirer. "AI is going to be very useful in terms of information discovery and summary," he said, but for complex legal tasks, "the law's low risk tolerance, plus the current capabilities of AI, are going to make that case less automatable at this point."
Electronics or elder care? See which Massachusetts job sectors are rising or falling.
Nursing homes and residential care facilities are projected to see a 13 percent jump in employment, while outpatient health care is expected to climb about 10 percent. "Baby boomers and retirements are going to increase demand, and a lot of folks are going to need longer-term health care," said Professor Emeritus Paul Osterman. "The demographics are fixed."
'Shared Wisdom:' A top AI expert considers how the potent tech can help us heal our polarized world
In this podcast episode, professor Alex "Sandy" Pentland discusses his new book "Shared Wisdom: Cultural Evolution in the Age of AI."
This vaccine adviser to RFK Jr. has some choice words for his critics
Professor Retsef Levi said: "I think we've adopted an extremely medicalized view of health. Too many public-health policies assume that a small group at the top should make decisions for everyone and enforce them instead of putting the individual at the center and empowering people, with the support of doctors and others, to take ownership of their health."
The risk, reward, and asset allocation of nonprofit endowment funds
Professor Andrew W. Lo, senior lecturer Egor Matveyev, and co-author wrote: "In our paper, we compile the first comprehensive dataset covering the full universe of U.S. nonprofit endowments. Using IRS Form 990 filings from 2008 to 2020, we study nearly 375,000 nonprofit organizations, including about 40,000 that maintain endowment assets. We combine detailed investment disclosures on Schedule D with governance, compensation, and financial information on the main form to examine how endowment strategy and performance relate to organizational structures and oversight practices."
How classic digital transformation lessons apply to AI — and what's different this time around
Those at the top of the organization, senior lecturer George Westerman said, are concerned about the costs associated with AI. At the bottom, people are just wondering if they'll lose their job and how they'll adapt. He described it as decision-making inertia at the top of the organization versus adoption inertia farther down. The challenge is moving both along and bridging the gap. "Helping to create the case for change and helping people feel that they can be part of that change. That's becoming even more critical this time around," he said.
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