Artificial Intelligence at MIT Sloan
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Ideas Made to Matter
Insights from MIT’s newest Nobel laureates on AI, labor, and more
Institute professor Daron Acemoglu and MIT Sloan professor Simon Johnson have examined economic growth, digital advertising, and the Russian oil cap.
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Managers and workers need to collectively develop new expectations and work practices to ensure that any work done in collaboration with generative AI meets the values, goals, and standards of their key stakeholders.Read More
AI Working Definitions
An Instagram series on ideas about AI and data science.
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AI Expert Spotlight
We asked several MIT experts about their latest projects and what they see as the most exciting—and concerning—aspects of the AI boom. Scroll through or see them all here.
In the News
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Time
Institute Professor Daron Acemoglu said: "I think right now business leaders are under tremendous pressure to do something on AI just to show it. For most businesses, the case for huge investments in AI is not clear. I think the case for tracking it, understanding it, and planning for later investments is much clearer."
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The New York Times
DebunkBot, an A.I. chatbot designed by researchers to “very effectively persuade” users to stop believing unfounded conspiracy theories, made significant and long-lasting progress at changing people’s convictions, according to a study published in the journal Science by co-author David Rand. “It is the facts and evidence themselves that are really doing the work here,” he said.
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Business Insider
The glaring problem with publicly available AI tools is that they're "inherently sociopathic," professor Andrew W. Lo and co-author wrote in a research report. "This sociopathy seems to cause the characteristic glibness of large language model output; an LLM can easily argue both sides of an argument because neither side has weight to it," they wrote. It may be able to role-play as a financial advisor by relying on its training data, but the AI needs to have a deeper understanding of a client's state of mind to build trust.
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The Economist
Despite the fact that the early internet was dominated by men, for example, young American women were more online than their male counterparts by 2005. On top of this, professor Danielle Li notes that the studies do not actually show whether men's current ChatGPT use translates into better or more productive work. At the moment, the technology may be more of a digital toy, she says. Perhaps, then, high-achieving women are simply better at avoiding distraction.
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Scientific American
While Google's AI answers may initially cause a big jump in the search engine's energy costs, the costs may begin to decrease again as engineers figure out how to make the system more efficient, said professor of the practice Rama Ramakrishnan. "The number of searches going through an LLM is going to go up, and therefore, probably, the energy costs are going to go up. But I think the cost per query seems to be going down."
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Harvard Business Review
Associate Dean Dimitris Bertsimas and co-author wrote: "For those private market investors willing to embrace external data, the rewards can be significant. By harnessing the power of external data, they can gain a crucial advantage in an increasingly competitive market, driving success for themselves and their portfolio companies."
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CNBC
Professor Stuart Madnick and his team have simulated cyberattacks in the lab, resulting in explosions. They were able to hack into computer-controlled motors with pumps and make them incinerate. Attacks that cause temperature gauges to malfunction, pressure values to jam, and circuits to be circumvented can also cause blasts in lab settings. Such an outcome, Madnick said, would do far more than simply taking a system offline for a while, as a typical cyberattack does.
I've gained deep insights into cutting-edge technologies and had the chance to connect and network with industry leaders. I have been completely struck by the rapid advancements in generative AI and taking courses or working on projects related to deep learning has been a rewarding experience.Read More
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AI at MIT Sloan
To help improve the accuracy of generative AI, add speed bumps
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Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.
The War Between Technological Productivity and Human Skill
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Matt Beane, SM ’14, PhD ’17, argues those using artificial intelligence will become incrementally de-skilled unless they are consciously upskilling at the same time.
Slack CEO: How to roll out artificial intelligence internally
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Slack CEO Denise Dresser lists five types of AI users you need to know in your organization and offers guidance on how to engage them.
How generative AI affects highly skilled workers
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When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.