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- W2995178194 abstract "Drawing from ethical concerns raised by communities of machine learning developers and considering predictive analytics’ very short-term predictions, several futures studies techniques are examined to offer some insights about possible bridges between machine learning and foresight. This review develops three main sections: (1) a brief explanation of central concepts, such as big data, machine learning, and artificial intelligence, hopefully not too simplistic but readable for larger audiences; (2) a discussion about ethical issues, such as bias, discrimination, and dilemmas in research; and (3) a brief description of how futures studies could address ethical dilemmas derived from different time horizons among machine learning immediate results, forecasting short-term predictions, and foresight long-term scenarios." @default.
- W2995178194 created "2019-12-26" @default.
- W2995178194 creator A5055453717 @default.
- W2995178194 date "2019-12-21" @default.
- W2995178194 modified "2023-10-16" @default.
- W2995178194 title "How Futures Studies and Foresight Could Address Ethical Dilemmas of Machine Learning and Artificial Intelligence" @default.
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- W2995178194 doi "https://doi.org/10.1177/1946756719894602" @default.
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