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These cloud-based machine-learning systems are designed to be loads easier to use than the underlying algorithms. This is absolutely a lot more essential than killer robots, at least for now. Giannandrea has certainly been a voice of reason in recent years amongst some extra fanciful warnings about the risks posed by AI. Instead, John Giannandrea is anxious in regards to the hazard that may be lurking contained in the machine-studying algorithms used to make thousands and thousands of selections each minute. This will help make the technology more accessible, however it could additionally make it simpler for bias to creep in. Giannandrea has good cause to highlight the potential for bias to creep into AI. “It’s essential that we be clear about the training data that we’re using, and are on the lookout for hidden biases in it, in any other case we are building biased programs,” Giannandrea added. “The actual safety question, if you want to call it that, is that if we give these programs biased data, they can be biased,” Giannandrea mentioned earlier than a recent Google conference on the connection between people and AI systems.
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