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Algorithm Aversion and the Aversion to CounterNormative Decision Procedures Jonathan Bogard ( jonathan.bogard@gmail.com ) UCLA https://orcid.org/0000000227007427 Suzanne Shu Cornell UniversityArticle Keywords: algorithm aversion, norms Posted Date: April 1st, 2022 DOI: https://doi.org/10.21203/rs.3.rs1466639/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License1Algorithm Aversion and the Aversion to CounterNormative
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What is algorithm aversion and form?
Algorithm aversion refers to the tendency of individuals to distrust or favor human decision-making over automated algorithms, especially when the algorithm makes mistakes. The 'form' in this context could refer to a specific document or framework used to assess or report on algorithm aversion.
Who is required to file algorithm aversion and form?
Typically, researchers, organizations, or individuals conducting studies or analyses involving algorithms, especially those that assess public perceptions or impacts of algorithmic decision-making, may be required to file such forms.
How to fill out algorithm aversion and form?
Filling out the algorithm aversion form involves providing information such as the context of the study, methodology, findings related to algorithm aversion, and any ethical considerations. It's essential to follow the guidelines provided with the form.
What is the purpose of algorithm aversion and form?
The purpose of the algorithm aversion form is to collect standardized data on how different algorithms are perceived and to quantify the level of aversion or trust in algorithmic decisions, often for research or regulatory purposes.
What information must be reported on algorithm aversion and form?
Information typically required includes demographics of participants, details of the algorithms being assessed, instances of mistakes made by the algorithms, participant reactions, and any qualitative feedback regarding trust and decision-making.
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