Computer Sciences

Algorithms that adjust for worker race, gender still show biases

Even after algorithms are adjusted for overt hiring discrimination, they may show a subtler kind: preferring workers who mirror dominant groups, according to a new study from researchers at The University of Texas at Austin.

Engineering

How to create smart city technology with connected cars

Smart city initiatives are increasingly implemented in various sectors like mobility and ICT to better handle resources and improve citizens' quality of life. The vision of such innovative solutions holds out the promise ...

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