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Harmonising AI, human expertise: Navigating the future of cyber security

AI has redefined the benchmarks for threat detection, predictive analytics and response strategies, says Ned Baltagi, MD, Middle East, Turkey and Africa at SANS Institute.

A bigger focus on the human impact of technology : Sisi Wei is The Markup s new editor-in-chief

A bigger focus on the human impact of technology : Sisi Wei is The Markup s new editor-in-chief
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Developing Algorithms That Might One Day Be Used Against You

Developing Algorithms That Might One Day Be Used Against You Photo: Mark Lopez/Argonne National Laboratory Machine learning algorithms serve us the news we read, the ads we see, and in some cases even drive our cars. But there’s an insidious layer to these algorithms: They rely on data collected by and about humans, and they spit our worst biases right back out at us. For example, job candidate screening algorithms may automatically reject names that sound like they belong to nonwhite people, while facial recognition software is often much worse at recognizing women or nonwhite faces than it is at recognizing white male faces. An increasing number of scientists and institutions are waking up to these issues, and speaking out about the potential for AI to cause harm.

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