Introduction
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-26568-6_1
Reference11 articles.
1. Belenguer, Lorenzo (2022). AI bias: Exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry. AI Ethics, Feb 10:1–17. doi: https://doi.org/10.1007/s43681-022-00138-8.
2. Fonseca, & Shaun B. Grimshaw (2017). Do behavioral nudges in prepopulated tax forms affect compliance? Experimental evidence with real taxpayers. Journal of Public Policy & Marketing, 36 (2): 213–26. https://doi.org/10.1509/jppm.15.1.
3. Gal, David and Derek Rucker. (2022). Experimental validation bias limits the scope and ambition of applied behavioural science. Nature Review of Psychology 1, 5–6. https://doi.org/10.1038/s44159-021-00002-2.
4. Gill, Dee. (2018). How to spot a nudge gone rogue. UCLA Anderson Review. https://anderson-review.ucla.edu/rogue-nudges.
5. Hall, Jonathan D., Joshua M. Madsen. (2022). Can behavioral interventions be too salient? Evidence from traffic safety messages. Science, 376:6591.
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