SMART launches research group to advance AI, automation, and the future of work

The Singapore MIT-Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, has launched a new interdisciplinary research group aimed at tackling key social and institutional challenges around the rise of artificial intelligence and other new technologies. The group, …

Artificial intelligence for augmentation and productivity

The MIT Stephen A. Schwarzman College of Computing has awarded seed grants to seven projects that are exploring how artificial intelligence and human-computer interaction can be leveraged to enhance modern work spaces to achieve better management and higher productivity.

Funded …

How machine learning models can amplify inequities in medical diagnosis and treatment

Prior to receiving a PhD in computer science from MIT in 2017, Marzyeh Ghassemi had already begun to wonder whether the use of AI techniques might enhance the biases that already existed in health care. She was one of the …

AI model can help determine where a patient’s cancer arose

For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because many cancer drugs are typically developed for specific cancer types.…

Using AI to protect against AI image manipulation

As we enter a new era where technologies powered by artificial intelligence can craft and manipulate images with a precision that blurs the line between reality and fabrication, the specter of misuse looms large. Recently, advanced generative models such as …

Understanding viral justice

In the wake of the Covid-19 pandemic, the word “viral” has a new resonance, and it’s not necessarily positive. Ruha Benjamin, a scholar who investigates the social dimensions of science, medicine, and technology, advocates a shift in perspective. She thinks …

Study finds ChatGPT boosts worker productivity for some writing tasks

Amid a huge amount of hype around generative AI, a new study from researchers at MIT sheds light on the technology’s impact on work, finding that it increased productivity for workers assigned tasks like writing cover letters, delicate emails, and …

How an “AI-tocracy” emerges

Many scholars, analysts, and other observers have suggested that resistance to innovation is an Achilles’ heel of authoritarian regimes. Such governments can fail to keep up with technological changes that help their opponents; they may also, by stifling rights, inhibit …

Day of AI curriculum meets the moment

MIT Responsible AI for Social Empowerment and Education (RAISE) recently celebrated the second annual Day of AI with two flagship local events. The Edward M. Kennedy Institute for the U.S. Senate in Boston hosted a human rights and data policy-focused …

Envisioning the future of computing

How will advances in computing transform human society?

MIT students contemplated this impending question as part of the Envisioning the Future of Computing Prize — an essay contest in which they were challenged to imagine ways that computing technologies could …

If art is how we express our humanity, where does AI fit in?

The rapid advance of artificial intelligence has generated a lot of buzz, with some predicting it will lead to an idyllic utopia and others warning it will bring the end of humanity. But speculation about where AI technology is going,

David Autor named NOMIS 2023 Distinguished Scientist

David H. Autor, Ford Professor of Economics at MIT, has been recognized as one of two 2023 NOMIS Distinguished Scientists for his significant contributions and ongoing research work to understand the effects of technological change and globalization on jobs and …

Defining the public interest in new technologies

How are waves of disruptive technologies, such as more advanced versions of artificial intelligence systems, changing the way we work, live, and play? Are there pathways that academics, practitioners, innovators, and entrepreneurs ought to be pursuing to ensure that the …

Bringing the social and ethical responsibilities of computing to the forefront

There has been a remarkable surge in the use of algorithms and artificial intelligence to address a wide range of problems and challenges. While their adoption, particularly with the rise of AI, is reshaping nearly every industry sector, discipline, and …

An AI challenge only humans can solve

The Dark Ages were not entirely dark. Advances in agriculture and building technology increased Medieval wealth and led to a wave of cathedral construction in Europe. However, it was a time of profound inequality. Elites captured virtually all economic gains. …

Joining the battle against health care bias

Medical researchers are awash in a tsunami of clinical data. But we need major changes in how we gather, share, and apply this data to bring its benefits to all, says Leo Anthony Celi, principal research scientist at the MIT …

3 Questions: Jacob Andreas on large language models

Words, data, and algorithms combine,
An article about LLMs, so divine. 
A glimpse into a linguistic world, 
Where language machines are unfurled.

It was a natural inclination to task a large language model (LLM) like CHATGPT with creating a poem

Study: AI models fail to reproduce human judgements about rule violations

In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as deciding whether social media posts violate toxic content policies.

But researchers from MIT and elsewhere have found that these …

MIT CSAIL researchers discuss frontiers of generative AI

The emergence of generative artificial intelligence has ignited a deep philosophical exploration into the nature of consciousness, creativity, and authorship. As we bear witness to new advances in the field, it’s increasingly apparent that these synthetic agents possess a remarkable …

MIT professor to Congress: “We are at an inflection point” with AI

Government should not “abdicate” its responsibilities and leave the future path of artificial intelligence solely to Big Tech, Aleksander Mądry, the Cadence Design Systems Professor of Computing at MIT and director of the MIT Center for Deployable Machine Learning, told …

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