Supporting Human Autonomy in AI Systems : A Framework for Ethical Enquiry
Book chapter
Calvo, Rafael A., Peters, Dorian, Vold, Karina and Ryan, Richard Michael. (2020). Supporting Human Autonomy in AI Systems : A Framework for Ethical Enquiry. In Philosophical Studies Series pp. 31-54 Springer Cham. https://doi.org/10.1007/978-3-030-50585-1_2
Authors | Calvo, Rafael A., Peters, Dorian, Vold, Karina and Ryan, Richard Michael |
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Abstract | Autonomy has been central to moral and political philosophy for millennia, and has been positioned as a critical aspect of both justice and wellbeing. Research in psychology supports this position, providing empirical evidence that autonomy is critical to motivation, personal growth and psychological wellness. Responsible AI will require an understanding of, and ability to effectively design for, human autonomy (rather than just machine autonomy) if it is to genuinely benefit humanity. Yet the effects on human autonomy of digital experiences are neither straightforward nor consistent, and are complicated by commercial interests and tensions around compulsive overuse. This multi-layered reality requires an analysis that is itself multidimensional and that takes into account human experience at various levels of resolution. We borrow from HCI and psychological research to apply a model (“METUX”) that identifies six distinct spheres of technology experience. We demonstrate the value of the model for understanding human autonomy in a technology ethics context at multiple levels by applying it to the real-world case study of an AI-enhanced video recommender system. In the process we argue for the following three claims: (1) There are autonomy-related consequences to algorithms representing the interests of third parties, and they are not impartial and rational extensions of the self, as is often perceived; (2) Designing for autonomy is an ethical imperative critical to the future design of responsible AI; and (3) Autonomy-support must be analysed from at least six spheres of experience in order to appropriately capture contradictory and downstream effects. |
Keywords | Artificial Intelligence; Assistive Technologies; Digital Well-Being; Digital Ethics |
Page range | 31-54 |
Year | 01 Jan 2020 |
Book title | Philosophical Studies Series |
Publisher | Springer Cham |
Place of publication | Switzerland |
Series | Philosophical Studies Series |
ISBN | 978-3-030-50585-1 |
ISSN | 0921-8599 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-50585-1_2 |
Web address (URL) | https://link.springer.com/chapter/10.1007/978-3-030-50585-1_2 |
Open access | Published as ‘gold’ (paid) open access |
Research or scholarly | Research |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
20 Aug 2020 | |
Publication process dates | |
Accepted | 2020 |
Deposited | 28 May 2024 |
Additional information | © 2020 The Author(s). |
This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/ ), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
https://acuresearchbank.acu.edu.au/item/90903/supporting-human-autonomy-in-ai-systems-a-framework-for-ethical-enquiry
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Publisher's version
OA_Ryan_2020_Supporting_human_autonomy_in_AI_systems.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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