Judgment and Decision-Making

Mishra, Sandeep; Novakowski, Dallas; Gonzales, Josh

doi:10.1007/978-3-319-16999-6_628-1

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…Other studies propose the conjunction of Bayesian cognitive models with other models, such as fuzzy logic (which allows inference from modeling continuous, gradual, approximate, and imprecise data present in natural language) ( Gentili, 2021 ), and judgment and decision-making ( Chater et al, 2020 ), which describes the estimative processes agents use to choose from a set of available alternatives ( Mishra, Novakowski & Gonzales, 2018 ). The latter approach is critical of classical RCT postulates, by questioning the notion of rational choice, the search for adaptive reasons in the presence of ambiguous rules, and the role of emotions in decision-making processes ( Mellers, Schwartz & Cooke, 1998 ).…”

Section: Ai and The Rct: The Conversion Of Values Into Datamentioning

confidence: 99%

Bioethics and artificial intelligence: between deliberation on values and rational choice theory

Pinto-Bustamante,

Riaño-Moreno,

Clavijo-Montoya

et al. 2023

Front. Robot. AI

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The present work revisits how artificial intelligence, as technology and ideology, is based on the rational choice theory and the techno-liberal discourse, supported by large corporations and investment funds. Those that promote using different algorithmic processes (such as filter bubbles or echo chambers) create homogeneous and polarized spaces that reinforces people’s ethical, ideological, and political narratives. These mechanisms validate bubbles of choices as statements of fact and contravene the prerequisites for exercising deliberation in pluralistic societies, such as the distinction between data and values, the affirmation of reasonable dissent, and the relevance of diversity as a condition indispensable for democratic deliberation.

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