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Workshop on Algorithmic Fairness November 12-13, 2020

Deadline for abstract submission September 8, 2020

[Translate to English:] opyright Anders Trærup

This workshop is organized by the project Bias and Fairness in Medicine funded by the Independent Research Council Denmark, and the Centre of Excellence for the Experimental-Philosophical Study of Discrimination (CEPDISC) funded by the Danish National Research Foundation.

The workshop is prompted by a call for philosophical reflection on how to assess the fairness of algorithmic decision making. In order to realize the potential benefits of applying computer systems to make consequential decisions about people in both the public and private sector, a wide range of stakeholders, including policy makers, public administrators, businesses, NGOs, and academics, have expressed a concern for the development of fair algorithms. How to define and model algorithmic fairness is currently a topic of intense debate in the field of AI known as machine learning. However, as several researchers in that field have pointed out, what it means for an algorithm to be fair is not a question that can be solved mathematically. It is a question of ethics. Hence there have been calls from the machine learning community for philosophers to engage in and apply their expertise to the topic of algorithmic fairness. The aim of this workshop is to do just that.

Read more about the workshop and submission of abstracts here

See program here

Read abstracts here

The workshop will take place at University of Copenhagen (with an option to participate online)

Keynote speakers: Benjamin Eidelson (Harvard Law School) and Deborah Hellman (University of Virginia School of Law)  

Conveners: Sune Holm (University of Copenhagen) and Kasper Lippert-Rasmussen (CEPDISC)