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Even though we may anticipate large language models to operate similarly to humans, they do not.

Algorithms, Artificial Intelligence, Computer science and technology, Economics, Human-computer interaction, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Humanities Arts and Social Sciences, UncategorizedJuly 23, 202431Views0Likes0Comments
Large language models (LLMs), such as GPT-3, are powerful tools due to their versatility. They can perform a wide range of tasks, ranging from helping draft emails to assisting in cancer diagnosis. However, their wide applicability makes them challenging to evaluate systematically, as it would be impossible to create a benchmark dataset to test a…

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Is technology beneficial or detrimental to job opportunities?

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 11, 202432Views0Likes0Comments
New research by MIT economist David Autor finds that since 1980, technology has replaced more U.S. jobs than it has created. It is a shift Autor attributes to an increased rate of automation and a slower rate of augmentation. Augmentation represents scenarios where technology drives the creation of new tasks, ultimately generating new job roles.…

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Extensive analysis of U.S. census information has revealed that much of the employment is in new roles.

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 11, 202431Views0Likes0Comments
A new study led by MIT economist David Autor reveals that most work in the U.S. today is new work, with a majority of jobs being in occupations that have only emerged widely since 1940. The study found that about six out of ten jobs people are doing currently did not exist in 1940, which…

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Extensive examination of U.S. census data reveals that the majority of labor involves fresh tasks.

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 11, 202429Views0Likes0Comments
New research from MIT suggests that approximately 60% of current jobs did not exist in 1940. Led by MIT economist David Autor, the study examined new job creation in the US from 1940 to 2018. The researchers found that many new jobs were created by technological advancements, although some originated from consumer demand, such as…

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Does technology aid in boosting job opportunities or does it harm them?

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 10, 202426Views0Likes0Comments
A detailed study by MIT economist David Autor and research team suggests that although new technology innovations have created new jobs since 1940, they have also replaced more jobs than created, particularly since 1980s. The study analyzed tens of thousands of U.S. census job categories in combination with an examination of the text of U.S.…

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The comprehensive analysis of U.S. census data highlights that the majority of employment opportunities are newly created.

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 10, 202424Views0Likes0Comments
New research led by David Autor, Ford Professor of Economics at MIT, suggests that the jobs landscape in the US has been largely shaped by the emergence of occupations that did not necessarily exist pre-1940. The study, which covers employment developments between 1940 to 2018, showed that about six of every 10 jobs in existence…

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Is technology beneficial or detrimental to employment?

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 9, 202428Views0Likes0Comments
An innovative research paper on job creation in the U.S. since 1940 shows that technology, particularly since 1980, has replaced more jobs than it has generated. The study was led by MIT economist David Autor, Ford Professor of Economics. Entitled “New Frontiers: The Origins and Content of New Work, 1940-2018,” the paper marks a significant…

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MIT scholars researching generative AI’s implications and uses received the second round of seed fund allocations.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 8, 202440Views0Likes0Comments
MIT President Sally Kornbluth and Provost Cynthia Barnhart last year issued a call for papers with the aim of developing effective strategies, policy recommendations, and calls to action in the field of generative artificial intelligence (AI). The response was overwhelming, with a total of 75 proposals submitted. Out of these, 27 were selected for seed…

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MIT researchers studying the implications and uses of generative AI receive a second phase of seed funds.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 7, 202431Views0Likes0Comments
Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers on generative artificial intelligence (AI). They sought effective roadmaps, policy recommendations, and calls for action in the AI field, and received 75 proposals. Out of these, 27 were selected for seed funding. Due to the robust response to this initial funding…

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MIT researchers studying the effects and uses of generative AI have received a second round of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 7, 202436Views0Likes0Comments
MIT President, Sally Kornbluth, and Provost, Cynthia Barnhart, recently solicited research proposals on the topic of generative artificial intelligence (AI). The response was overwhelming, with 75 proposals submitted from across MIT. Consequently, due to the level of interest and quality of the proposals, a second call for papers was announced, which led to an additional…

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MIT researchers studying the effects and usage of generative AI receive another round of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 6, 202438Views0Likes0Comments
In response to their call for papers last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart received an overwhelming interest from the research community. The call for proposals was made to "articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI." The response far exceeded expectations, with 75…

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MIT researchers examining the influence and uses of generative AI have received a second batch of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 6, 202438Views0Likes0Comments
MIT President Sally Kornbluth and Provost Cynthia Barnhart launched a call for papers last summer relating to generative AI, with the aim of collecting effective strategies, policy suggestions, and calls to action in this expansive field. The response was overwhelming, with a total submission of 75 proposals, out of which 27 were chosen for seed…

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