MIT Generative AI Week fosters dialogue across disciplines
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.
Project shares ways to create community around design equity, ethics, and justice.
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Director and MIT Professor Jay Scheib’s production, at the Bayreuth Festival in Germany, features an apocalyptic theme and augmented reality headsets for the audience.
MIT students examine movies, art, and ethics from both the producer and audience perspectives.
Author and African American studies scholar Ruha Benjamin urges MIT Libraries staff to “re-imagine the default settings” of technology for a more just future.
In China, the use of AI-driven facial recognition helps the regime repress dissent while enhancing the technology, researchers report.
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.
A collaboration between MIT and Miami-Dade County has students working with city planning officials to understand why people wait patiently for a bus — and why they bail.
MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.
New online journal seeks to bring together the MIT community to discuss the social responsibilities of individuals who design, implement, and evaluate technologies.
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.
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.