When disaster strikes, humanitarian planners rarely face a simple question of how to move aid faster. They must decide who ...

Applications tripled because hiring taught candidates to optimize for filters. AI didn't cause the surge. It exposed a screen ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

AI is increasingly used in hiring processes, even though critics worry that existing biases may be baked into their ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

In computer science, the research area of algorithms investigates formal procedures for solving computational problems, emphasizing correctness, efficiency, and resource optimization. It encompasses ...

Ultra-secure encryption algorithm added to ISO standard for Asymmetric Ciphers Classic McEliece is first PQC algorithm to achieve global standardization Organisations in 177 ISO member states can now ...

X is boosting posts among mutual followers after finding that relationship data was missing from its algorithm, exposing the gap between predicting engagement and creating conversations people ...

An AI hiring system can treat every applicant the same and still leave some people feeling targeted. Researchers found that rejected candidates judged an automated interview differently depending on ...

Qube Research & Technologies, one of London’s largest quantitative hedge funds, is doing something that would once have looked heretical for a firm built on code: it is hiring humans to pick stocks.

New research from Stanford underscores that preventing bias in A.I.-powered hiring depends less on abandoning the technology than on designing, governing and auditing it responsibly. Unsplash+ How do ...

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