The Principle of Total Evidence: Justification and Political Significance

Abstract The principle of total evidence says that one should conditionalize one’s degrees of belief on one’s total evidence. In the first part, I propose a justification of this principle in terms of its epistemic optimality . The justification is based on a proof of I. J. Good and embedded into a new account of epistemology based on optimality-justifications. In the second part, I discuss an apparent conflict between the principle of total evidence and the political demands of anti-discrimination . These demands require, for example, that information about the sex of the applicant for a job should not be included in the relevant evidence. I argue that if one assesses the applicant’s qualification in terms of those properties that are directly causally relevant for the job performance, then properties that are merely indirectly relevant, such as sex, race, or age, are screened off, i.e., become irrelevant. So, the apparent conflict disappears.

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Publication Details

Journal
Acta Analytica
Published
2024-09-30
DOI
https://doi.org/10.1007/s12136-024-00607-1
Citations
1
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.35

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article

The Principle of Total Evidence: Justification and Political Significance

Gerhard Schurz
1 citations
Acta Analytica
Adversarial Robustness in Machine Learning
0.35
article

The Principle of Total Evidence: Justification and Political Significance

Gerhard Schurz
article en
1 citations

Abstract

Abstract The principle of total evidence says that one should conditionalize one’s degrees of belief on one’s total evidence. In the first part, I propose a justification of this principle in terms of its epistemic optimality . The justification is based on a proof of I. J. Good and embedded into a new account of epistemology based on optimality-justifications. In the second part, I discuss an apparent conflict between the principle of total evidence and the political demands of anti-discrimination . These demands require, for example, that information about the sex of the applicant for a job should not be included in the relevant evidence. I argue that if one assesses the applicant’s qualification in terms of those properties that are directly causally relevant for the job performance, then properties that are merely indirectly relevant, such as sex, race, or age, are screened off, i.e., become irrelevant. So, the apparent conflict disappears.

Acta AnalyticaVol. 39(4)
Heinrich Heine University Düsseldorf (DE)
Deutsche Forschungsgemeinschaft, Heinrich-Heine-Universität Düsseldorf
Openalex Percentile: Top 33%
Adversarial Robustness in Machine Learning
0.35
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