A quality that enables users of artificial intelligence programs to understand and trust how models operate and make decisions.
The idea that artificial intelligence should primarily enhance human capabilities rather than replace them.
It’s not hard to find headlines that suggest artificial intelligence is taking over the business world, but the reality looks different.
The ability to engage in nuanced decision-making can help humans stay employable as artificial intelligence and machine learning continue to ascend.
Professor and physician Collin Stultz wants to help heart patients everywhere by applying machine-learning techniques to cardiovascular medicine
In this issue, we announce registration for several HSI lunchtime seminars in April.
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
Professor of the practice Rama Ramakrishnan, SM ’90, PhD ’94, helps companies explore the promises and perils of large language models and other transformative AI technologies.
Twelve teams of students and postdocs across the MIT community presented innovative startup ideas with potential for real-world impact.
