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== Factors affecting algorithm aversion ==
Various frameworks have been proposed to explain the causes for algorithm aversion and techniques or system features that might help reduce aversion.<ref name=":0" /><ref>{{Cite journal|last1=Burton|first1=Jason W.|last2=Stein|first2=Mari-Klara|last3=Jensen|first3=Tina Blegind|date=2020|title=A systematic review of algorithm aversion in augmented decision making|url=https://onlinelibrary.wiley.com/doi/abs/10.1002/bdm.2155|journal=Journal of Behavioral Decision Making|language=en|volume=33|issue=2|pages=220–239|doi=10.1002/bdm.2155|s2cid=210439660 |issn=1099-0771}}</ref><ref>{{Cite journal|last1=Mahmud|first1=H.|last2=Islam|first2=A.N.|last3=Ahmed|first3=S.I.|last4=Smolander|first4=K.|date=2022|title=What influences algorithmic decision-making? A systematic literature review on algorithm aversion|journal=Technological Forecasting and Social Change|volume=175|page=121390|doi=10.1016/j.techfore.2021.121390|issn=0040-1625|doi-access=free}}</ref>
=== Decision control ===
Algorithms may either be used in an ''advisory'' role (providing advice to a human who will make the final decision) or in a ''delegatory'' role (where the algorithm makes a decision without human supervision).<ref>{{Cite journal|last1=Mahmud|first1=H.|last2=Islam|first2=A.N.|last3=Mitra|first3=R.K.|date=2023|title=What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness|journal=Technological Forecasting and Social Change|volume=193|page=122641|doi=10.1016/j.techfore.2023.122641|issn=0040-1625|doi-access=free}}</ref> A movie recommendation system providing a list of suggestions would be in an ''advisory'' role, whereas the human driver ''delegates'' the task of steering the car to [[Tesla Autopilot|Tesla's Autopilot]]. Generally, a lack of decision control tends to increase algorithm aversion.{{citation needed|date=October 2023}}
=== Perceptions about algorithm capabilities and performance ===
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