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Computerized decision making is becoming a reality with exponentially growing data and machine capabilities. Some decision making is extremely complex, historically reserved for governing bodies or market places where the collective human experience and intelligence come to play. Other decision making can be trusted to computers that are on a path now into the future through novel software development and technological improvements in data access. In all cases, we should think about this carefully first: what data are really important for our goals and what data should be ignored or not even stored? The answer to these questions involves human intelligence and understanding before the data-to-decision process begins.
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Elmegreen et al. (2014) studied this question.
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