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Researchers have developed prototypes of data visualizations that enable blind and low-vision people who use screen readers to more easily explore information and gain deeper insights about chart data. They plan to turn these prototypes into a software tool that could help designers make data visualizations accessible and navigable.
MIT researchers developed a method that helps a user to better understand a machine-learning model’s reasoning, and how that reasoning compares to that of a human. The technique enables a user to rapidly identify and analyze patterns in a model’s behavior.
In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients' X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI's predictions?
MIT researchers created a method that helps humans develop a more accurate mental model of an artificial intelligence teammate, so they have a better understanding of when they should trust the AI agent’s algorithmic predictions.