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BIOUNCERTAINTY - ERC Starting Grant no. 805498

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Epistemiczna niesprawiedliwość: podejście formalne

Epistemiczna niesprawiedliwość: podejście formalne

Projekt badawczy "Epistemiczna niesprawiedliwość: podejście formalne" współfinansowany przez Komisję Europejską i Narodowe Centrum Nauki w ramach grantu Marie Skłodowska-Curie COFUND w ramach konkursu POLONEZ BIS 2.

Podstawowe informacje

  • Tytuł projektu: Epistemiczna niesprawiedliwość: podejście formalne
  • Czas trwania: 1 kwietnia 2023 - 31 marca 2025
  • Kierownik projektu: dr Christop Merdes (
  • Opiekun naukowy: dr hab. Tomasz Żuradzki, prof. UJ

Opis popularyzatorski

Epistemic injustice denotes a variety of phenomena where an epistemic agent is wronged as a knower. Most
prominently, these are testimonial and hermeneutic injustice. The former ocurrs in testimonial interactions when a
hearer misjudges a speakers credibility without exculpatory circumstances. The latter describes situations where the
collective interpretive resources of a community are insufficient to make sense of certain experiences of a social group within the community.
The goal of this project is to enhance understanding and make more precise the analysis of epistemic injustice by means of formal modeling. This is done both to create a general toolbox for formally treating scenarios of potential epistemic injustice and to answer several specific questions. The project is split into three interconntected subprojects:

(1) Credibility excess. Epistemic injustice is commonly associated with deflated credibility judgment, and Miranda
Fricker, the most influential theorist of the matter, has argued that excess credibility does not constitute epistemic
injustice the same way deflated judgments do. The project will capture triadic testimonial situations where it there
seems to be symmetry between deflated and excess credibility. A Bayesian model of the testimonial situation will make more precise the situation and help answer the normative question by explicating the presuppositions of various ansers.

(2) Explicating hermeneutic injustice. While the basic idea of hermeneutic injustice is clear enough, there is actually
much to be explored when it comes to the details. This project will focus on the issue of missing concepts that are,
however, in some proto-form existing. To describe and analyze such circumstances, the project will exploe the utility of the framework of imprecise probabilities, which allows for an interval-valued representation of uncertainty. If this
modeling approach successfully captures the hermeneutic insufficiency of a conceptual system, it can, due to an existing formal framework, be seamlessly integrated with the account of testimonial injustice from (1), as there are Bayesian updating rules for imprecise probabilities.

(3) Self-justifying epistemic injustice. It is well known that stereotypes, which are often the source of inappropriate
credibility jdugments, can be self-reinforing. This happens through the expectations of the stereotyped agents. In the
framework of epistemic injustice, once agents have adopted the stereotype, the deflated credibility seems to be well-founded; but that seems to be obviously ethically objectionable. To analyse these types of scenarios and investigate the breakdown of justification, the project will develop a game-theoretic model of testimonial exchange, in which the self-fulfilling prophecy of stereotypes with respect to credibility can be properly represented. This will suggest solutions to the described issue of seemingly justified injustice and also offer insiht into the prevention or disruption of such dynamics.

These problems, though seemingly abstract philosophical issues, relate closely to a number of practical, ethico-epistemological applications. Most obviously, certain scenarios of legal testimony and the relationship between medical experts and their lay audiences, be they their clients or the general public.
Imagine a scenario of competing testimony in the courtroom: It is quite obvious how the problem of excess credibility
applies: When it comes to the ultimate judgment of the hearer (judge or jury), it seems to make no difference whether
they discount one witness's testimony or inflate the other's. In either case, they end up with a judgment closer to the
latter's testimony, and, given the inadequacy of the credibility assignment, thereby commit epistemic injustice.
For a very brief example from the field of medical experts, if a group is stereotypically assumed to exaggerate their
symptoms, say, pain, physicians may as a consequence undertreat them; but that is likely to trigger the exact dynamic described under (3): Once the patients from that social group adapt to the physicians' judgments, those very judgments reflect accurately the behavior of the stereotyped group. Members of that group may exaggerate their symptoms to receive adequate treatment, but in the process confirm and reinforce the stereotype.
To put it succinctly, the project aims to introduce tools that have been proven useful in formal epistemolgy to the ethics of belief.

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Źródło finansowania

Badania zrealizowane jako część projektu nr 2022/45/P/HS1/03948 w ramach programu POLONEZ BIS współfinansowanego ze środków Narodowego Centrum Nauki oraz programu ramowego Unii Europejskiej w zakresie badań naukowych i innowacji Horyzont 2020 na podstawie umowy nr 945339 w ramach działań „Marie Skłodowska-Curie”.

Akronim: FoTrEpIn

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"Fairness or Accuracy? A Bayesian Inquiry into the Ethics of Attention"

ZAEC. Zagreb, Croatia, 2023

“Is Honesty Truth-Conduciveness?”

Perspectives About Truth 2, Bukarest, Romania, 2023

"Distributive Testimonial Injustice. A Bayesian Inquiry"

BLESS Conference Toruń, Poland, 2023

"A Bayesian Analysis of Testimonial Injustice. Credibility Excess and Attention Deficits"

Workshop on Computational Models in Social Epistemology. Bochum, Germany 2023

"Can an AI Commit Epistemic Injustice? The Link Between Epistemic Agency and Patiency"

Budapest Philosophy of Technology Conference. Budapest, Hungary, 2023

“Allocating attention: Algorithmic fairness beyond biased classification.”

Philosophy in Technology. Wrocław 2024

'Knowledge through social networks: Accuracy, error, and polarisation" w czasopiśmie Plos One

This paper examines the fundamental problem of testimony. Much of what we believe to know we know in good part, or even entirely, through the testimony of others. The problem with testimony is that we often have very little on which to base estimates of the accuracy of our sources. Simulations with otherwise optimal agents examine the impact of this for the accuracy of our beliefs about the world. It is demonstrated both where social networks of information dissemination help and where they hinder. Most importantly, it is shown that both social networks and a common strategy for gauging the accuracy of our sources give rise to polarisation even for entirely accuracy motivated agents. Crucially these two factors interact, amplifying one another’s negative consequences, and this side effect of communication in a social network increases with network size. This suggests a new causal mechanism by which social media may have fostered the increase in polarisation currently observed in many parts of the world.

Hahn, U., Merdes, C., & von Sydow, M. (2024). Knowledge through social networks: Accuracy, error, and polarisation. Plos one, 19(1), DOI: 10.1371/journal.pone.0294815