{"id":95280,"date":"2026-07-04T21:07:33","date_gmt":"2026-07-04T21:07:33","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/95280\/"},"modified":"2026-07-04T21:07:33","modified_gmt":"2026-07-04T21:07:33","slug":"exploring-the-societal-impacts-of-ai-mit-news","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/95280\/","title":{"rendered":"Exploring the societal impacts of AI | MIT News"},"content":{"rendered":"

At the recent AI and Society Forum at MIT<\/a>, experts from across the Institute discussed the potential benefits and dangers of technological innovation on labor, the nature of work, civil discourse, election administration, and other topics.<\/p>\n

The\u00a0event featured individual research presentations and panel discussions, as well as\u00a0a musical performance<\/a> exploring the use of generative artificial intelligence in the arts.<\/p>\n

The forum was co-organized by the\u00a0School of Humanities, Arts, and Social Sciences<\/a> (SHASS) and the\u00a0Social and Ethical Responsibilities of Computing<\/a> (SERC). It was presented in collaboration with two of MIT\u2019s strategic initiatives: the\u00a0MIT Generative AI Impact Consortium<\/a> (MGAIC) and the\u00a0MIT Human Insight Collaborative<\/a> (MITHIC).<\/p>\n

Agust\u00edn Rayo<\/a>, the Kenan Sahin Dean of SHASS, and Dan Huttenlocher<\/a>, dean of the MIT Schwarzman College of Computing, provided opening remarks.<\/p>\n

Rayo said bringing scholars from across MIT together was intentional because understanding AI\u2019s impact requires expertise from disciplines throughout the Institute.<\/p>\n

\u201cPaying attention to the societal consequences of AI is not a departure from MIT\u2019s mission; it\u2019s a way of ensuring that our technical leadership has maximum impact,\u201d Rayo said.<\/p>\n

Huttenlocher added that computing and AI\u2019s rapid growth makes it critical to support interdisciplinary conversations and research.<\/p>\n

\u201cUnderstanding where AI excels and where it falls short is essential not only to unlocking its benefits, but also to avoiding critical errors, overreliance, and unintended consequences,\u201d Huttenlocher said.<\/p>\n

Jobs and AI\u00a0<\/p>\n

Held in the Tull Concert Hall in MIT\u2019s Linde Music Building, the May 12 forum opened with a keynote presentation from economist David Autor<\/a>, the Daniel (1972) and Gail Rubinfeld Professor in the MIT Department of Economics. Autor\u00a0challenged the common narrative that AI will simply eliminate jobs by proposing instead that technology’s impact depends on how it affects the scarcity and value of human expertise.\u00a0<\/p>\n

\u201cWhen I think about how technology interacts with the value of labor, I think about it in terms of how it changes the scarcity of expertise, whether it makes it more valuable or whether it makes it more of a commodity,\u201d he said.<\/p>\n

Autor said that what matters is whether automation removes routine supporting tasks or removes expert tasks. He argued that AI will likely create new specialized work, requiring proactive policies around worker training, wage insurance, and broader capital ownership.<\/p>\n

A panel discussion followed, moderated by Rob Loughlin, a partner at McKinsey & Company, featuring experts from MIT discussing how work is changing and what it means for society.\u00a0<\/p>\n

Daniela Rus<\/a>, the MIT Panasonic Professor of Computer Science and director of the Computer Science and Artificial Intelligence Laboratory (CSAIL), described excitement around ways AI could enhance the workplace.<\/p>\n

\u201cI\u2019d like to imagine the robot as your friend and assistant, as someone who watches you and figures out how to help you as someone you can task at a high level,\u201d she said.\u00a0<\/p>\n

Still, Rus said, human judgment remains critical in decision-making.<\/p>\n

\u201cWe could really think about co-work with the AI tools, but the role of the human as the decider, as the person with good judgment, as the person deciding the next step, whatever that is, remains super important,\u201d she said.<\/p>\n

David Mindell<\/a>, professor of Aeronautics and Astronautics<\/a> and the Dibner Professor of the History of Engineering and Manufacturing in the Program in Science, Technology, and Society, says the nature of work has constantly changed over the years, but \u201cwhat matters is the new work.\u201d\u00a0<\/p>\n

\u201cWe need to be supporting individuals, the economy, professions, to constantly be creating the new work,\u201d he said. \u201cIt\u2019s absolutely imperative that we give the tools to the young people and let them do what they find creative and show us what the new work is going to be.\u201d<\/p>\n

Panelists also talked about the need to maintain safety standards, while also exploring ways to find efficiencies. Mindell used an example of cargo flights that require six pilots due to the length of the flight.<\/p>\n

\u201cWe don\u2019t know how to take that six number down to five yet, much less two, one, or zero. There’s a lot of money behind solving that problem, but there’s also a very rich system that has evolved to make those systems safe,\u201d he said.<\/p>\n

Sendhil Mullainathan<\/a>, the Peter de Florez Professor with dual appointments in the MIT departments of Economics and Electrical Engineering and Computer Science (EECS),\u00a0described a vision of AI\u2019s utility and growth that offers productivity improvements, but also cautioned, \u201cI think it’s very much worth differentiating productivity gains from things that actually drive long-term growth.\u201d<\/p>\n

Either way, Mullainathan said, it\u2019s clear we\u2019re entering a time of high variance with regard to AI\u2019s impact on the workforce.<\/p>\n

\u201cIf you said, \u2018exactly how will organizations restructure?\u2019 I don\u2019t know. But is there going to be a lot of restructuring? It\u2019s hard to believe there isn\u2019t going to be a lot of restructuring. And in some sense, if we know that what we\u2019re entering is a period of high variance, that itself is incredibly informative,\u201d he said.<\/p>\n

Democracy and AI<\/p>\n

The day\u2019s second session focused on AI technology and its impact on democracy.\u00a0<\/p>\n

Chara Podimata<\/a>, the Class of 1942 Career Development Assistant Professor and assistant professor of operations research and statistics in the MIT Sloan School of Management,\u00a0presented her research on auditing large language models for bias in election information.<\/p>\n

\u201cAlgorithms decide a lot of things about our lives right now,\u201d she said. \u201cWith regard to chatbots and election information, if I take two people and they interact with the same chatbot \u2026 how will the chatbot respond? How will it personalize the information it gives to these people?\u201d<\/p>\n

A longitudinal study of 12 major models during the 2024 U.S. presidential election season found responses varied dramatically based on stated demographics and political leanings. Her research team is now working on a new audit of the 2026 U.S. midterm elections, using a redesigned survey with input from political science experts.<\/p>\n

During a panel discussion moderated by Songyee Yoon, founder and managing partner at Principal Venture Partners and member of the MIT Corporation, experts raised concern about the potential for AI to erode democratic norms and processes, but also explored potential positive outcomes.<\/p>\n

Bailey Flanigan<\/a>, the Theodore T. Miller (1922) Career Development Professor in the Department of Political Science, who holds an MIT Schwarzman College of Computing shared position with EECS,\u00a0said she\u2019s skeptical of how some are applying AI as a tool that can get people to reach decisions or consensus more quickly.<\/p>\n

\u201cAnd there is a reason to think that this is nice because it is more efficient. It’s easier. But it loses a lot of these procedural elements of democracy that are the rituals of how we come together and make decisions,\u201d she said. \u201cAnd I think it\u2019s a mistake to forget about that when we start thinking about automation.\u201d<\/p>\n

Charles Stewart III<\/a>, the Kenan Sahin (1963) Distinguished Professor of Political Science and founding director of the MIT Election Data and Science Lab<\/a>, said one challenge is that governmental structures do not evolve at the same rate as technology.<\/p>\n

Stewart said his biggest concern is the potential for AI to lead to chaos during and after elections.<\/p>\n

\u201cIf and when things go wrong, they can go really bad, and really wrong. If an election is called into question, that can lead to violence,\u201d Stewart said.<\/p>\n

\u201cWe\u2019ve already seen in the low-tech eras election results being manipulated. What worries me is what I\u2019m going to observe this coming Election Day, and the Wednesday after, and if AI has helped to create irreversible disruptions to the election system,\u201d he added.<\/p>\n

Lily Tsai<\/a>, the Ford Professor of Political Science and director and founder of the MIT Governance Lab<\/a> (MIT GOV\/LAB), said in many ways, AI runs against the democratic norms and commitments necessary for a healthy democracy.<\/p>\n

\u201cIt is really important not just in terms of design principles, but the commitments of designers to be familiar with the values and principles that characterize what democracy is based on: agency, political equality, mutual respect, inclusion, and autonomy,\u201d Tsai said.<\/p>\n

Tsai also noted her research has shown some people are more comfortable interacting with machines. She described a \u201cSocratic dialogue chatbot\u201d her team designed that asks people to articulate the thinking behind their beliefs and positions.<\/p>\n

\u201cAnd that actually, interestingly, seems to moderate their policy position in the process,\u201d Tsai said. \u201cSo there are absolutely examples of ways in which AI can have positive impacts on democracy. But it really is about designing with the right principles and evaluating them rigorously.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"At the recent AI and Society Forum at MIT, experts from across the Institute discussed the potential benefits…\n","protected":false},"author":2,"featured_media":95281,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[49807,4587,24,19941,25659,3799,49805,49808,25,49813,49812,49814,49809,1880,28019,49810,9783,49806,49815,49798,49804,49803,49802,49799,49801,4581,4579,49800,49811],"class_list":["post-95280","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-2026-midterms","tag-agustin-rayo","tag-ai","tag-ai-and-democracy","tag-ai-and-employment","tag-ai-and-jobs","tag-ai-in-elections","tag-ai-in-politics","tag-artificial-intelligence","tag-bailey-flanigan","tag-chara-podimata","tag-charles-stewart-iii","tag-dan-huttenlocher","tag-daniela-rus","tag-david-autor","tag-david-mindell","tag-election-integrity","tag-election-interference","tag-lily-tsai","tag-mit-ai-and-society-forum","tag-mit-election-data-and-science-lab","tag-mit-generative-ai-impact-consortium","tag-mit-gov-lab","tag-mit-political-science","tag-mit-program-in-sts","tag-mit-serc","tag-mit-shass","tag-mithic","tag-sendhil-mullainathan"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/95280","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=95280"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/95280\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/95281"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=95280"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=95280"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=95280"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}