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Umwelt is a new a system that enables blind and low-vision users to author accessible, interactive charts representing data in three modalities: visualization, textual description, and sonification.
Open-source software written by MIT Morningside Academy of Design Fellow Jonathan Zong and others in the MIT Visualization Group improves accessibility of online graphics for blind users.
Following MIT President Sally Kornbluth’s call for proposals, 27 teams of MIT scholars have been selected to develop research papers analyzing the impact of generative AI on education, companionship, music, and more.
A new tool helps scientists develop machine-learning models that generate richer, more detailed captions for charts, and vary the level of complexity of a caption based on the needs of users. This could help improve accessibility for people with visual disabilities.
Saliency cards, developed at MIT and IBM, seek to describe a machine-learning model’s behavior and to help users quickly compare methods so they can choose the right one for their task.