Debiasing Decisions
By Carey K. Morewedge, H. Yoon, I. Scopelliti, C. Symborski, James Korris, Karim S. Kassam. 2015
249 citations recorded by the source corpus.
Subfields: Applied Psychology, Cognitive Neuroscience, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/1984f045b488bb1af481b23f83f1b9df68e3f5b9
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In Cognitive Neuroscience
Citations in the corpus
- Teachers' trust in AI-powered educational technology and a professional development program to improve it (2022, background): “Nevertheless, emerging evidence suggests that training programs and interventions can help mitigate AI-related biases and improve decision-making processes (Morewedge et al., 2015; Sellier et al., 2019) by increasing practitioners AI knowledge.”
- Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development (2018, background): “Three general approaches have been suggested and shown to produce positive results (Morewedge et al., 2015): (1) recalibrating incentives to reward healthy behavior, (2) optimizing how choice options are presented and obtained, and (3) debiasing training interventions.”
- Errors in Probabilistic Reasoning and Judgment Biases (2018, unknown): “Some recent work has suggested that instructional games may be more effective than traditional training methods at persistent debiasing that generalizes across decision making contexts (Morewedge et al., 2015).”