News and Research articles on Fairness

Fairness as crowd-pleaser

Lee Andrew Bygrave, University of Oslo

PUBLISHED ON: 24 Jul 2025

Given the ubiquity of fairness as a normative criterion in tech policy, this op-ed warns of particular risks to its legitimising potential which may, in the long term, damage the standing of fairness as crowd-pleaser.

Algorithmic bias and the Value Sensitive Design approach

Judith Simon, Universität Hamburg
Pak-Hang Wong, Universität Hamburg
Gernot Rieder, Universität Hamburg
PUBLISHED ON: 18 Dec 2020 DOI: 10.14763/2020.4.1534

This article provides an overview of the Value Sensitive Design (VSD) methodology and explores how it can enrich the current debates on algorithmic bias and fairness in machine learning.