Conference presentation
Pricing Algorithms: Dynamic & Personal Pricing & Market Harms
Australasian Association of Philosophy Conference ONLINE, 2024 (Online, 16-Oct-2024–18-Oct-2024)
2024
Abstract
Born out of the pursuit of efficiency and profit, businesses have recently enjoyed the use of pricing algorithms. These algorithms automatically determine the requested price and allocation of goods and services based on real-time data points. As a result, pricing algorithms afford businesses powerful opportunities to maximise market share and profit. While there are broad commentaries in business studies on the benefits of pricing algorithms, there is relatively little in the way of philosophical commentaries discussing the potential harms. In this paper we explore two types of pricing algorithms – dynamic and personal – and highlight some of the harmful consequences of there use. We argue that these pricing algorithms (i) exacerbate existing market harms and (ii) introduce new kinds of market harms. By analysis these harms we draw a preliminary map for address some of the normative questions concerning pricing algorithms and further place the onus of proof onto those who want to defend such market harms as an exception to the harm principle.
Details
- Title
- Pricing Algorithms: Dynamic & Personal Pricing & Market Harms
- Authors
- Harri Munday (Author) - University of New EnglandDeclan Humphreys (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Conference details
- Australasian Association of Philosophy Conference ONLINE, 2024 (Online, 16-Oct-2024–18-Oct-2024)
- Date published
- 2024
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991102546202621
- Output Type
- Conference presentation
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