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Designing Fairer, Safer Machine Learning Algorithms
In an article in Science Magazine, CICS researchers Philip Thomas, Yuriy Brun, and Andy Barto introduce a new framework that makes it easier for users of algorithms to specify safety and fairness constraints.
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At the Forefront of Equitable Computing
A new initiative showcases CICS fairness, accountability, and transparency research and education.
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Our Students Start Out a Step Ahead
The CICS Class of 2018 First Destination Report provides insights on career placement for our most recent alumni.
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Rising Stars in CS
Our second annual lecture series highlights the stellar work of young computer scientists about to launch into careers in academia.
