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Algorithms are at work behind the scenes–in areas where they’re having a huge impact on human lives. For example, in filtering applications to study and training programs or in policing to predict which offenders may go on to commit worse crimes. Within the context of Artificial Intelligence, algorithms are constantly learning and changing depending on the volume, quality and suitability of their training data. The impressive capabilities of AI systems can make it tempting to place premature trust in their calculated results. With considerable financial and social consequences for individuals and groups. Can AI and its algorithms be taught to behave with esponsibility?
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