Ethics

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.”

Prof. Marzyeh Ghassemi speaks with WBUR reporter Geoff Brumfiel about her research studying the use of artificial intelligence in healthcare. “When you take state-of-the-art machine learning methods and systems and then evaluate them on different patient groups, they do not perform equally,” says Ghassemi.

Prof. Aleksander Mądry’s testimony before a House subcommittee was highlighted by Politico fellow Mohar Chatterjee in a recent newsletter exploring how large tech companies are dominating how generative AI technologies are developed and utilized. During his testimony, Mądry emphasized that “very few players will be able to compete, given the highly specialized skills and enormous capital investments the building of such systems requires.”

Writing for The Wall Street Journal, Dean Daniel Huttenlocher, former Secretary of State Henry Kissinger and former Google CEO Eric Schmidt explore how generative artificial intelligence “presents a philosophical and practical challenge on a scale not experienced since the beginning of the Enlightenment.” Huttenlocher, Kissinger and Schmidt make the case that “parameters for AI’s responsible use need to be established, with variation based on the type of technology and the context of deployment.”

A review led Prof. Marzyeh Ghassemi has found that a major issue in health-related machine learning models “is the relative scarcity of publicly available data sets in medicine,” reports Emily Sohn for Nature.

Principal research scientist Leo Anthony Celi speaks with Associated Press reporter Maddie Burakoff about how pulse oximeters can provide inaccurate readings in patients of color. Celi highlights how oxygen levels can also be measured by drawing blood out of an artery in the wrist, the “gold standard” for accuracy, but a method that is a a bit trickier and more painful. 

Institute Prof. Barbara Liskov discusses the importance of including ethics and foresight as a key parts of computer science education, reports Susan D'Agostino for Inside Higher Ed. “The days of being naïvely technical, which we were for many years, are over,” says Liskov. “We need to open students’ minds so they think about the harm that can come from what they’re doing and so they ask, ‘What could I add that could act as a safeguard?’ It’s more than ethics. They need to think from a different perspective.”

At MIT’s AI Policy Forum Summit, which was focused on exploring the challenges facing the implementation of AI technologies across a variety of sectors, SEC Chair Gary Gensler and MIT Schwarzman College of Computing Dean Daniel Huttenlocher discussed the impact of AI on the world of finance. “If someone is relying on open-AI, that's a concentrated risk and a lot of fintech companies can build on top of it,” Gensler said. “Then you have a node that's every bit as systemically relevant as maybe a stock exchange."

The new MIT Museum opens to the public this weekend in its new location in Kendall Square, which is “quite significant because this is the heart of innovation,” notes GBH’s Jared Bowen. Museum visitors will not only get a sense of MIT’s long history of innovation, but also get a sense of the scientific process, with exhibits featuring “part of the machinery that was used to help sequence the human genome, [and] the star shade petal that allowed NASA to photograph exoplanets,” Bowen explains.

Principal Research Scientist Leo Anthony Celi oversaw a study which found that people of color were given significantly less supplemental oxygen than white people because of inaccuracies in pulse oximeter readings, reports Nancy Lapid for Reuters. “Nurses and doctors make the wrong decisions and end up giving less oxygen to people of color because they are fooled [by incorrect readings from pulse oximeters],” says Celi.

Steven Gonzalez Monserrate PhD ’22 writes for Scientific American about the ecological and environmental implications of our digital lives. “As [the cloud] continues to expand, its environmental impact increases, even as the engineers, technicians, and executives behind its infrastructures strive to balance profitability with sustainability,” writes Gonzalez Monserrate.

Prof. David Rand and Prof. Gordon Pennycook of the University of Regina in Canada found that people improved the accuracy of their social media posts when asked to rate the accuracy of the headline first, reports Faye Flam for Bloomberg. “It’s not necessarily that [users] don’t care about accuracy. But instead, it’s that the social media context just distracts them, and they forget to think about whether it’s accurate or not before they decide to share it,” says Rand.

WBUR reporter Pamela Reynolds spotlights a new exhibit of Sharona Franklin’s work, which will be on display at the MIT List Visual Arts Center this coming February. “Franklin presents a new installation combining the themes of chronic illness with bioethics, environmental harm and holistic approaches to healthcare,” writes Reynolds.

Writing for Popular Science, Sarah Scoles spotlights DAILy (Developing AI Literacy) initiative, a project by MIT researchers and students aimed at teaching middle schoolers “the technical, creative, and ethical implications of AI, taking them from building PB&Js to totally redesigning YouTube’s recommendation algorithm.”