Despite its impressive output, generative AI doesn’t have a coherent understanding of the world

Researchers show that even the best-performing large language models don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks.

Adam Zewe | MIT News • mit
Nov. 5, 2024 ~7 min

Helping robots zero in on the objects that matter

A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.

Jennifer Chu | MIT News • mit
Sept. 30, 2024 ~9 min


Study: AI could lead to inconsistent outcomes in home surveillance

Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

Adam Zewe | MIT News • mit
Sept. 19, 2024 ~8 min

MIT researchers use large language models to flag problems in complex systems

The approach can detect anomalies in data recorded over time, without the need for any training.

Adam Zewe | MIT News • mit
Aug. 14, 2024 ~7 min

Study: When allocating scarce resources with AI, randomization can improve fairness

Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.

Adam Zewe | MIT News • mit
July 24, 2024 ~7 min

Large language models don’t behave like people, even though we may expect them to

A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.

Adam Zewe | MIT News • mit
July 23, 2024 ~8 min

AI model identifies certain breast tumor stages likely to progress to invasive cancer

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

Adam Zewe | MIT News • mit
July 22, 2024 ~6 min

How to assess a general-purpose AI model’s reliability before it’s deployed

A new technique enables users to compare several large models and choose the one that works best for their task.

Adam Zewe | MIT News • mit
July 16, 2024 ~7 min


When to trust an AI model

More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

Adam Zewe | MIT News • mit
July 11, 2024 ~7 min

Study reveals why AI models that analyze medical images can be biased

These models, which can predict a patient’s race, gender, and age, seem to use those traits as shortcuts when making medical diagnoses.

Anne Trafton | MIT News • mit
June 28, 2024 ~9 min

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