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Google and AI: Biases, lung cancers, and flood forecasting

After an apparent privacy-focused shift echoed at Facebook F8, Google executives also emphasized how it has to keep responsible development of AI, privacy and security in mind. Google's Sundar Pichai talked of bad datasets and and AI bias, ""We want to ensure that our AI models don't reinforce bias that exists in the world."... "Its not enough to know if a model works, we need to know how it works." To tackle bias, Pichai said Google is working on a new model called TCAV ( (testing with concept activation vectors), it shows which elements of the training data are important to reveal biases. For instance, he explains, if classifier that is trained to identify doctors, is trained with data having mostly males wearing coats and stethoscopes, than the AI could assume that being male was an important prediction factor. Similarly, for an AI system detecting skin cancer to be effective, it will have to recognize a wide variety skin tones representative of the entire population. "There's a lot more to do, but we are committed to building AI in a way that's fair and works for everyone, including identifying and addressing bias in our own AI models." Its worth noting that avoid reinforcing biases using AI and using AI for social good were among Google's AI principles. The company's global advisory council for ethical issues around AI was dissolved within days of formation, after thousands of its employees protested the appointment of a right-wing thinktank leader. The eight-member Advanced Technology…

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