Year: 2020
Type: article
Abstract: Our society can benefit immensely from algorithmic decision-making and similar types of artificial intelligence. But algorithmic decision-making can also have discriminatory effects. This paper examines that problem, using online price differentiation as an example of algorithmic decision-making. With online price differentiation, a company charges different people different prices for identical products, based on information the company has about those people. The main question in this paper is: to what extent can non-discrimination law protect people against online price differentiation? The paper shows that online price differentiation and algorithmic decision-making could lead to indirect discrimination, for instance harming people with a certain ethnicity. Indirect discrimination occurs when a practice is neutral at first glance, but ends up discriminating against people with a protected characteristic, such as ethnicity. In principle, non-discrimination law prohibits indirect discrimination. The paper also shows, however, that non-discrimination law has flaws when applied to algorithmic decision-making. For instance, algorithmic discrimination can remain hidden: people may not realise that they are being discriminated against. And many types of unfair – some might say discriminatory – algorithmic decisions are outside the scope of current non-discrimination law. price discrimination, price differentiation, personalised pricing, dynamic pricing, algorithmic decision-making, big data, artificial intelligence, fairness, law, equality, non-discrimination law, human rights, fundamental rights.
Source: European Business Law Review
DOI: 10.54648/eulr2020017
Author: Frederik Zuiderveen Borgesius
Institution: Radboud University Nijmegen
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2955201981