Special theme on privacy and the Internet of things

Chamberlain, Alan; Crabtree, Andy; Haddadi, Hamed; Mortier, Richard

doi:10.1007/s00779-017-1066-5

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…Weber [102] calls for new legal approaches to data privacy in the IoT context, from the European perspective, based on improved transparency and data minimization principles. The recent European regulation, the General Data Protection Regulation (GDPR) 18 is a law aimed at providing people with greater control of their data, and has implications and challenges for IoT systems, with requirements on systems such as privacy-by-design, the right to be forgotten or data erasure, the need for clarity in requesting consent, and data portability where users have the right to receive their own data, as discussed in [100]. Companies are already coming on board with tools to support GDPR requirements.…”

Section: Unsecured Consumer Iot Devicesmentioning

confidence: 99%

“…• informational privacy: this relates to one's ability to control one's own health data -it is not uncommon for organizations to ask consumers for private data with the promise that the data will not be misusedin fact, privacy laws could prohibit use of the data beyond its intended context -the issues are myriad (e.g., see [18]), including how one can access data collected by an IoT device but now possibly owned by the company, how much an insurance company could demand of user health data, 21 how one can share data in a controlled manner, how one can prove the veracity of personal health data, and how users can understand the privacy-utility tradeoffs when using an IoT device;…”

Section: Ethical Issues With Health Related Iotmentioning

confidence: 99%

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Achieving Ethical Algorithmic Behaviour in the Internet-of-Things: a Review

Loke¹

2019

Preprint

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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 and 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, whitebox algorithms, blackbox 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.

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Section: Unsecured Consumer Iot Devicesmentioning

confidence: 99%

Section: Ethical Issues With Health Related Iotmentioning

confidence: 99%

Achieving Ethical Algorithmic Behaviour in the Internet-of-Things: a Review

Loke¹

2019

Preprint

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“…Part of that landscape is the experiences and feelings that we attach to the physically tangible as well as the intangible worlds of memories, feelings, and emotions. There is a genuine case for using autoethnographic design approaches to locate personal media as it goes beyond conventional "implications for design" [11], is more than a "scenic" study [10], or an 'imposed' analytic. It is a method of imagination, a lens through which to discover social and personal potentials in design, a way to set in motion our imaginations around how to shape intangible forms of media in a tangible world, to support a selfor autobiographical design [12] agenda.…”

Section: Introductionmentioning

confidence: 99%

“…However, this is not to say that there are not studies that use autoethnography as a methodological framework. Recent research in regard to the design of mobile technologies [15][16] and also within the field of media and informatics [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] indicates an interest in new ways of framing and motivating research, that one would argue is of particular relevance to a range of academic communities.…”

Section: Introductionmentioning

confidence: 99%

Sounding Out Ethnography and Design: Developing Metadata Frameworks for Designing Personal Heritage Soundscapes

Chamberlain

Bødker²,

Papangelis

2018

J. Audio Eng. Soc.

Self Cite

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The paper presents reflections on understanding the issues of designing locative sonic memory-scapes. As physical space and digital media become ever more intertwined, together forming and augmenting meaning and experience, we need methods to further explore possible ways in which physical places and intangible personal content can be used to develop meaningful experiences. The paper explores the use of autoethnography as a method for soundscape design in the fields of personal heritage and locative media. Specifically, we explore possible connections between digital media, space, and "meaning making," suggesting how autoethnographies might help discover design opportunities for merging digital media and places. These are methods that are more personally relevant than those typically associated with a more system-based design approaches that we often find are less sensitive to the way that emotion, relationships, memory, and meaning come together. As a way to expand upon these relationships we also reflect on relations between personal and community-based responses.

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“…It is not uncommon for organizations to ask consumers for private data with the promise that the data will not be misused-in fact, privacy laws can prohibit the use of data beyond its intended context. The issues are myriad (e.g., see [42]), including how one can access data that were collected by an IoT device but are now possibly owned by the company, how much an insurance company can demand of user health data, (https://www.iothub.com.au/news/intel-brings-iot-to-health-insurance-411714, accessed on 1 July 2021), how one can share data in a controlled manner, how one can prove the veracity of personal health data, and how users can understand the privacy-utility trade-offs when using an IoT device. • Risk of non-professional care: The notion of self health-monitoring and self-care as facilitated by health IoT devices can provide false optimism, limiting a patient's condition to a narrow range of device-measurable conditions.…”

mentioning

confidence: 99%

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

Loke

2021

IoT

View full text Add to dashboard Cite

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.

show abstract

Special theme on privacy and the Internet of things

Cited by 4 publications

References 7 publications

Achieving Ethical Algorithmic Behaviour in the Internet-of-Things: a Review

Achieving Ethical Algorithmic Behaviour in the Internet-of-Things: a Review

Sounding Out Ethnography and Design: Developing Metadata Frameworks for Designing Personal Heritage Soundscapes

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

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