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Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review

Loke, Seng 2021, Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review, IoT, vol. 2, no. 3, pp. 401-426, doi: 10.3390/iot2030021.

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Title Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review
Author(s) Loke, SengORCID iD for Loke, Seng orcid.org/0000-0001-9568-5230
Journal name IoT
Volume number 2
Issue number 3
Start page 401
End page 426
Total pages 27
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2021-07-04
ISSN 2624-831X
Keyword(s) ethical algorithmic behaviour
ethics
ethics for the Internet of Things
Summary The Internet of Things is emerging as a vast, inter-connected space of devices and things surrounding people, many of which are increasingly capable of autonomous action, from automatically sending data to cloud servers for analysis, changing the behaviour of smart objects, to changing the physical environment. A wide range of ethical concerns has arisen in their usage and development in recent years. Such concerns are exacerbated by the increasing autonomy given to connected things. This paper reviews, via examples, the landscape of ethical issues, and some recent approaches to address these issues concerning connected things behaving autonomously as part of the Internet of Things. We consider ethical issues in relation to device operations and accompanying algorithms. Examples of concerns include unsecured consumer devices, data collection with health-related Internet of Things, hackable vehicles, behaviour of autonomous vehicles in dilemma situations, accountability with Internet of Things systems, algorithmic bias, uncontrolled cooperation among things, and automation affecting user choice and control. Current ideas towards addressing a range of ethical concerns are reviewed and compared, including programming ethical behaviour, white-box algorithms, black-box validation, algorithmic social contracts, enveloping IoT systems, and guidelines and code of ethics for IoT developers; a suggestion from the analysis is that a multi-pronged approach could be useful based on the context of operation and deployment.
Language eng
DOI 10.3390/iot2030021
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30153131

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.