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As artificial intelligence (AI) systems get increasingly complex, they are being used to make forecasts – or rather generate predictive model results – in more and more areas of our lives. But at the same time, concerns are on the rise about reliability, amid widening margins of error in elaborate AI predictions. How can we address these concerns? Management science offers a set of tools that can make AI systems more trustworthy, according to Thomas G Dietterich, professor emeritus and director of intelligent systems research at Oregon State University. During a webinar on the AI for Good platform hosted by the International Telecommunication Union (ITU), Dietterich told the audience that the discipline that brings human decision-makers to the top of their game can also be applied to machines. Why is this important? Because human intuition still beats AI hands-down in making judgement calls in a crisis. People – and especially those working in their areas of experience and expertise – are simply more trustworthy. Studies by ...