Technology and society

Neil Thompson, director of the FutureTech research project at MIT CSAIL and a principal investigator MIT’s Initiative on the Digital Economy, speaks with Politico reporter Mohar Chatterjee about generative AI, the pace of computer progress and the need for the U.S. to invest more in developing the future of computing. “We need to make sure we have good secure factories that can produce cutting-edge semiconductors,” says Thompson. “The CHIPS Act covers that. And people are starting to invest in some of these post-CMOS technologies — but it just needs to be much more. These are incredibly important technologies.”

Institute Prof. Daron Acemoglu and Prof. Aleksander Mądry join GBH’s Greater Boston to explore how AI can be regulated and safely integrated into our lives. “With much of our society driven by informational spaces — in particular social media and online media in general — AI and, in particular, generative AI accelerates a lot of problems like misinformation, spam, spear phishing and blackmail,” Mądry explains. Acemoglu adds that he feels AI reforms should be approached “more broadly so that AI researchers actually work in using these technologies in human-friendly ways, trying to make humans more empowered and more productive.”

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.

MIT researchers have developed a new method to make chatbots more factual, reports Gerrit De Vynck for The Washington Post. “The researchers proposed using different chatbots to produce multiple answers to the same question and then letting them debate each other until one answer won out,” explains Vynck. “The researchers found using this ‘society of minds’ method made them more factual.”  

Prof. Jessika Trancik speaks with Popular Science reporter Charlotte Hu about the impact of electric vehicles on the environment. “There’s definitely a number of different modes of transport that need to be addressed and green modes of transport that need to be supported,” says Trancik. “We really need to be thinking holistically about all these ways to reduce greenhouse gas emissions.”

The Economist spotlights several MIT studies that use artificial neural networks (ANN) to examine the human brain, including work by former postdoctoral researcher Daniel Yamins and his colleagues training ANNs to pick out objects from photographs, reports The Economist.

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.” 

Popular Science reporter Andrew Paul spotlights “Ways of Seeing” a documentary project that aims to create “extended reality” (XR) experiences of significant architectural locales in Afghanistan as part of an effort to preserve the country’s historical sites. Paul notes that the project combines “cutting edge 3D imaging, drone photography, and virtual reality combined with painstakingly detailed hand drawings.”

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.”

As part of an effort to address racism and discrimination, MIT researchers have developed a new VR role-playing project, dubbed “On the Plane,” writes Axios reporter Russell Contreras. "Our hope is that (players) move away from the experience with an understanding of how xenophobia and other forms of discrimination may play out in everyday life situations," explains CSAIL Research Scientist Caglar Yildirim.

Prof. Stuart Madnick speaks with Wall Street Journal reporter Seán Captain about how AI could make scamming easier and more dangerous. AI “raises the level of skepticism that we must have substantially,” notes Madnick. “Procedures will have to be put in place to validate the authenticity of who you are dealing with.”

Prof. Cynthia Breazeal, the MIT dean of digital learning, speaks with Education Week reporter Alyson Klein about the importance of ensuring K-12 students are AI literate. “The AI genie is out of the bottle,” says Breazeal. “It’s not just in the realm of computer science and coding. It is affecting all aspects of society. It’s the machine under everything. It’s critical for all students to have AI literacy if they are going to be using computers, or really, almost any type of technology.”

Prof. Benedetto Marelli and his colleagues have created “packaging that can react to changes in the food it contains to better indicate when it has gone bad,” reports Karmela Padavic-Callaghan for New Scientist. The biodegradable plastic-like wrap, which is made from silk, changes color when it is exposed to rotting foods and degrades quickly in soil. 

Writing for The Los Angeles Times, Institute Prof. Daron Acemoglu and Prof. Simon Johnson make the case that the development of artificial intelligence should be shifted “toward a focus on ‘machine usefulness,’ the idea that computers should primarily enhance human capabilities. But this needs to be combined with an explicit recognition that any resulting productivity gains must be shared with workers, in terms of higher incomes and better working conditions.”