Researchers from MIT have found that using generative AI chatbots can improve the speed and quality of simple writing tasks, but often lack factual accuracy, reports Richard Nieva for Forbes. “When we first started playing with ChatGPT, it was clear that it was a new breakthrough unlike anything we've seen before,” says graduate student Shakked Noy. “And it was pretty clear that it was going to have some kind of labor market impact.”
Financial Times reporter Andrew Hill highlights Prof. Zeynep Ton’s new book “The Case for Good Jobs: How Great Companies Bring Dignity, Pay, and Meaning to Everyone’s Work” in a roundup of his best books of the year thus far. “Ton has assembled a hard-to-dispute argument that better and better-paid jobs contribute to a virtuous circle of greater competitiveness, productivity and, above all, worker dignity and wellbeing,” writes Hill.
A study by MIT researchers shows that “workers have cost employers a 25% tax rate, while the rate of software and equipment has stood around 5%,” write Diego Areas Munhoz and Samantha Handler for Bloomberg. “This lopsidedness in tax code gives employers more reason to invest in automating goods like machines and computer software instead of workers.”
“Power and Progress,” a new book by Institute Prof. Daron Acemoglu and Prof. Simon Johnson, has been named one of the best new books on economics by the Financial Times. “The authors’ nuanced take on technological development provides insights on how we can ensure the coming AI revolution leads to widespread benefits for the many, not just the tech bros,” writes Tej Parikh.
Writing for The New York Times, Institute Prof. Daron Acemoglu and Prof Simon Johnson make the case that “rather than machine intelligence, what we need is ‘machine usefulness,’ which emphasizes the ability of computers to augment human capabilities. This would be a much more fruitful direction for increasing productivity. By empowering workers and reinforcing human decision making in the production process, it also would strengthen social forces that can stand up to big tech companies.”
Boston Globe reporter Kara Miller spotlights Prof. Zeynep Ton’s work advocating for better treatment and pay for workers. Ton, who originally came to the Boston area to study supply chains, recently published a new book, “The Case for Good Jobs,” and is “on a mission to change how company leaders think, and how they treat their employees,” writes Baskin. “To Ton, the solution is clear: Treat people better, give them more control over their lives, close the income divide. It’s just good business.”
Prof. Danielle Li and graduate student Lindsey Raymond speak with NPR hosts Wailin Wong and Adrian Ma about how generative artificial intelligence could impact the workplace based on their research examining how an AI chatbot affected workers at customer contact centers. “A lot of what customer service is, is about managing people's feelings 'cause people come, they're tired or whatever,” says Li. “And so in some sense there's kind of this sort of human soft skills component that these technologies are able to capture in a way that prior technologies couldn't.”
Prof. Daron Acemoglu speaks with VOX Talks host Tim Phillips about his new book written with Prof. Simon Johnson, “Power and Progress.” The book explores “how we can redirect the path of innovation,” Phillips explains.
J. Daniel Kim PhD ’20 and Minjae Kim SM ’17 PhD ‘18 have found that young companies “were less likely than similar companies to change their line of business or location” after the departure of a founder, reports Kevin Lewis for The Boston Globe. “Companies that did change their line of business tended to perform better, especially around recessions,” explains Lewis. “This supports the notion that the loss of a founder tends to impede necessary change.”
Bloomberg reporter Adrian Wooldridge spotlights a new book titled “Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity” by Prof. Simon Johnson and Prof. Daron Acemoglu. “The authors’ main worry about AI is not that it will do something unexpected like blowing up the world,” writes Wooldridge. “It is that it will supercharge the current regime of surveillance, labor substitution and emotional manipulation.”
Institute Prof. Daron Acemoglu discusses AI and the labor market, the history of technological progress and Turkey with Financial Times columnist Rana Foroohar. “I think the skills of a carpenter or a gardener or an electrician or a writer, those are just the greatest achievements of humanity, and I think we should try to elevate those skills and elevate those contributions,” says Acemoglu. “Technology could do that, but that means to use technology not to replace these people, not to automate those tasks, but to increase their productivity.”
Prof. Daron Acemoglu speaks with Wired reporters Gideon Lichfield and Lauren Goode about his new book with Prof. Simon Johnson, “Power and Progress.” Acemoglu explains that: “The way I would put it is, don't think of your labor as a cost to be cut. Think of your labor as a human resource to be used better, and AI would be an amazing tool for it. Use AI to allow workers to make better decisions.”
Guardian reporter Will Hutton spotlights “Power and Progress,” a new book by Institute Prof. Daron Acemoglu and Prof. Simon Johnson that makes the case that “the political struggle has consistently aimed to contain excessive inequality of wealth, and act collectively to share prosperity. It is successive waves of transformative technologies above all that bring the productivity gains that create great wealth, only for it to be captured by the incumbent elite.”
Researchers from MIT and elsewhere have found chance encounters among employees of different companies can kickstart innovation, reports Bart Ziegler for The Wall Street Journal. Researchers explained that such chance meetings “may spark a conversation that leads to a transfer of knowledge or a collaboration,” writes Ziegler.
Prof. Yossi Sheffi, director of the MIT Center for Transportation and Logistics, speaks with David Wade of WBZ News about AI and the future of work. "Jobs will change, clearly some jobs will disappear. I don't want to minimize it," says Sheffi. “Some jobs will disappear, but this is a very small number. Most of the impact of technology is to assist."