Accountability in the IoT: Systems, Law, and Ways Forward
Abstract
The physical, ubiquitous, and autonomous nature of the emerging Internet of Things (IoT) raises various accountability challenges relating to safety and security, privacy and surveillance, and governance and responsibility. The authors consider the IoT’s emerging systems-of-systems nature, providing the broad legal context for addressing these concerns and highlighting directions and opportunities for improving levels of accountability in the applications, systems, and services that will increasingly pervade society.
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Information about the workflow of model construction and deployment facilitates auditing of the learning algorithm, hyperparameters, predictor variables, and coefficients.
“Information about the workflow of model construc- 20 GDPR, Art 22. tion and deployment itself facilitates auditing of, for example, the learning algorithm (or algorithms in ensemble models) used, hyperparameters, predictor variables, and coefficients (variable weights) [40].”
From Decision Provenance: Harnessing Data Flow for Accountable Systems (2019) · cites this paper as [40]
Cites
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., Pellegrini, F. D., & Imrich Chlamtac, A. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,629 · see citing works
Enabling the Internet of Things
Want, R., Schilit, B. N., & Jenson, S. (2015) · Computer · doi:10.1109/mc.2015.12 · Cited by 444 · see citing works
Malware Guard Extension: Using SGX to Conceal Cache Attacks
Schwarz, M., Weiser, S., Gruss, D., Maurice, C., & Mangard, S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-60876-1_1 · Cited by 350 · see citing works
Code and Other Laws of Cyberspace
Shuler, J. A. (2001) · Government Information Quarterly · doi:10.1016/s0740-624x(00)00068-x · Cited by 268 · see citing works
Building accountability into the Internet of Things: the IoT Databox model
Crabtree, A., Lodge, T., Colley, J., Greenhalgh, C., Glover, K., Haddadi, H., Amar, Y., Mortier, R., Qi, L., Moore, J., et al. (2018) · Journal of Reliable Intelligent Environments · doi:10.1007/s40860-018-0054-5 · Cited by 117 · see citing works
Decision Provenance: Harnessing Data Flow for Accountable Systems
Singh, J., Cobbe, J., & Norval, C. (2019) · IEEE Access · doi:10.1109/access.2018.2887201 · Cited by 110 · see citing works
Self-citationOn Using Micro-Clouds to Deliver the Fog
Elkhatib, Y., Porter, B., Ribeiro, H. B., Zhani, M. F., Qadir, J., & Rivière, É. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.35 · Cited by 93 · see citing works
Data provenance to audit compliance with privacy policy in the Internet of Things
Pasquier, T., Singh, J. P., Powles, J., et al. (2017) · Personal and Ubiquitous Computing · doi:10.1007/s00779-017-1067-4 · Cited by 75 · see citing works
Self-citationAccountability in the Internet of Things
Weber, R. H. (2011) · Computer law & security review · doi:10.1016/j.clsr.2011.01.005 · Cited by 61 · see citing works
Singh, J. P., Pasquier, T., Bacon, J., Powles, J., Diaconu, R., & Eyers, D. M. (2016) · International Middleware Conference · doi:10.1145/2988336.2988349 · Cited by 42 · see citing works
Self-citationMachine Learning with Personal DataPreprint
Kamarinou, D., Millard, C. J., & Singh, J. P. (2016) · SSRN Electronic Journal · Cited by 38 · see citing works
Self-citationResponsibility, Autonomy and Accountability: Legal Liability for Machine LearningPreprint
Reed, C., Kennedy, E., & Silva, S. N. (2016) · SSRN Electronic Journal · Cited by 20 · see citing works
Self-citation‘European’ Data Privacy Standards Implemented in Laws Outside EuropePreprint
Greenleaf, G. (2017) · SSRN Electronic Journal · Cited by 20 · see citing works
Twenty Legal Considerations for Clouds of ThingsPreprint
Hon, W., Millard, C., & Singh, J. P. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2716966 · Cited by 15 · see citing works
Self-citationInternet of Things Ecosystems: Unpacking Legal Relationships and Liabilities
Millard, C. J., Hon, W. K., & Singh, J. P. (2017) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e.2017.46 · Cited by 12 · see citing works
Self-citationAnalytics without Tears or Is There a Way for Data to Be Anonymized and Yet Still Useful?
Crowcroft, J., & Gascón, A. (2018) · IEEE Internet Computing · doi:10.1109/mic.2018.032501518 · Cited by 4 · see citing works
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Decision Provenance: Harnessing Data Flow for Accountable Systems
Singh, J., Cobbe, J., & Norval, C. (2019) · IEEE Access · doi:10.1109/access.2018.2887201 · Cited by 110 · see citing works
Self-citationWhat lies beneath: transparency in online service supply chains
Cobbe, J., Norval, C., & Singh, J. (2020) · Journal of Cyber Policy · doi:10.1080/23738871.2020.1745860 · Cited by 13 · see citing works
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- Authors
- Singh, J., Millard, C., Reed, C., Cobbe, J., & Crowcroft, J.
- Affiliations
- University of Cambridge (GB)
- Queen Mary University of London (GB)
- Venue
- Computer
- Published
- 2018-07
- Volume
- 51
- Issue
- 7
- Pages
- 54-65
- ISSN
- 0018-9162 (ISSN-L)
- 1558-0814
- OpenAlex
- W2887344017
- Cited by
- 55
- References
- 16
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 14 · 2020: 11 · 2019: 8 · 2018: 1 · 2012: 1
- FWCI
- 78.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computer (publishedVersion)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- Funders
- Microsoft
- Engineering and Physical Sciences Research Council (EP/P024394/1)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Internet of Things, accountability, Internet of Things security, IoT privacy, surveillance, governance, responsibility, systems of systems, legal framework, safety
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