Normativity, Epistemic Rationality, and Noisy Statistical Evidence

Download Edit this record How to cite View on PhilPapers
Abstract
Many philosophers have argued that statistical evidence regarding group char- acteristics (particularly stereotypical ones) can create normative conflicts between the requirements of epistemic rationality and our moral obligations to each other. In a recent paper, Johnson-King and Babic argue that such conflicts can usually be avoided: what ordinary morality requires, they argue, epistemic rationality permits. In this paper, we show that as data gets large, Johnson-King and Babic’s approach becomes less plausible. More constructively, we build on their project and develop a generalized model of reasoning about stereotypes under which one can indeed avoid normative conflicts, even in a big data world, when data contain some noise. In doing so, we also articulate a general approach to rational belief updating for noisy data.
Keywords
No keywords specified (fix it)
PhilPapers/Archive ID
BABNER
Upload history
First archival date: 2021-03-09
Latest version: 2 (2021-08-06)
View other versions
Added to PP index
2021-03-09

Total views
85 ( #47,320 of 2,448,712 )

Recent downloads (6 months)
28 ( #23,787 of 2,448,712 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.