Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data, argue James Zou and Londa Schiebinger in Nature.

Artificial intelligence is now part of our daily lives, whether in voice recognition systems or route finding apps. But scientists are increasingly drawing on artificial intelligence to understand society, design new materials and even improve our health.

Algorithms that dig into our digital lives to predict behavior have become a hot topic. Michal Kosinski talks about the pros and cons of life in a hyper-connected world.

Algorithmic systems appear to mimic our mind’s inner workings more closely than previously thought.

Anna-Sophia Lesiv of the Stanford Daily writes about the past, present and future of Ethics in Computer Science at Stanford.

Researchers all over Stanford are working on our driverless future. From exploring complex ethics questions, to developing leading-edge technologies, to real-world testing of custom autonomous cars, Stanford researchers are striving to help ensure the safety of driverless vehicles.

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