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.
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Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.
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.
A new technique enables users to compare several large models and choose the one that works best for their task.
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.
The startup Augmental allows users to operate phones and other devices using their tongue, mouth, and head gestures.
Fifteen new faculty members join six of the school’s academic departments.
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
MIT Department of Mechanical Engineering grad students are undertaking a broad range of innovative research projects.