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Boston MA (SPX) Dec 12, 2023 - Artificial intelligence models that pick out patterns in images can often do so better than human eyes - but not always. If a radiologist is using an AI model to help her determine whether a patient
A new onboarding technique from MIT can help humans collaborate more effectively with AI assistants. The process finds situations where the human either over-trusts or under-trusts the AI, describing these as natural language rules, and creates training exercises based on these rules to guide the user.
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.
In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images