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Sammanfattning

This short overview of automation at work has been motivated by a desire to raise awareness of some challenges to automation and what decision making have to guide against. Organisations can use multiple theories and perspectives to guide data interpretation and encourage re-assessment of algorithms in ways that does not perpetuate bias. The future skills and competencies needed at work involve higher emphasis on social intelligence and creativity. The future worker is more likely to become a partner of automated systems rather than a competitor to automated systems.

MeSH