If art is how we express our humanity, where does AI fit in?
MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.
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David Autor named NOMIS 2023 Distinguished Scientist
NOMIS Foundation honors the Ford Professor of Economics for his contributions to understanding the effects of technological change and globalization on jobs and earnings prospects for workers.
Mapping cities in motion
MIT’s Senseable City Lab popularized visual tools that show how cities work. A new book reflects on the promise of dynamic urban maps.
MIT PKG IDEAS Social Innovation Challenge grants more than $60,000 to student-led teams to address pressing societal issues
The Priscilla King Gray Public Service Center's IDEAS program empowers teams partnering with communities to tackle a range of social challenges.
A step toward safe and reliable autopilots for flying
A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.
Bringing the social and ethical responsibilities of computing to the forefront
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
MIT researchers make language models scalable self-learners
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
John Durant to step down as MIT Museum director
Durant, who led the reimagining of MIT’s museum in Kendall Square, will leave his post after 18 years of service.
Q&A: Gabriela Sá Pessoa on Brazilian politics, human rights in the Amazon, and AI
The Brazilian social justice reporter is a fellow at the MIT Center for International Studies.
Scaling audio-visual learning without labels
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
Computational model mimics humans’ ability to predict emotions
Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.
New tool helps people choose the right method for evaluating AI models
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
A more effective way to train machines for uncertain, real-world situations
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
CoCo: A real-time co-creative learning platform for young people
Media Lab PhD students Manuj Dhariwal and Shruti Dhariwal introduce a new paradigm of creative collaboration in digital learning environments.
Celebrating the impact of IDSS
A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.