ISSN (O): 2581-9453 Indexed in Manupatra, Google Scholar & ROAD Est. 2019 VidhiAagaz Group
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Research Paper Volume 3 Issue 4 1081 - 1091 August 30, 2021

Data Protection in Cloud Robotics – Transparency and Security Issues

Lead author · Corresponding
Akanksha Bisoyi
Master in International Law, Graduate Institute of International and Development Studies, Geneva, Switzerland
Abstract

While cloud robotics provides greater efficiency, capability, scalability, and reliability, the legal concerns associated with it are of the higher-order since it involves cloud computing and robotics, which lacks clarity and comprehensive legal framework. The application of existing regulations for cloud computing and robots is also not straightforward because of the multidimensional characteristics of cloud robotics. Since cloud networked robots can transfer risk from and to tangible-intangible worlds, they pose more significant challenges, including inter alia diverse legal obligations, data security, and protection compliance. This paper discusses the data protection issues in cloud robotics, starting with examining the controller and processor's role and then, exploring critical legal problems concerning transparency and data security in a cloud robotic ecosystem. Identifying the controller and processor, which is essential to address the transparency and security issues, is not easy though not impossible. Mapping precise communications between the robots and the cloud, making the decisions of robots and AI comprehensible, incorporating predictability into the behaviour of robots, introducing verifiable security protocols, and above all, having robust organizational safeguards, can help to address transparency and security issues in cloud robot legal framework.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 3, Issue 4, Page 1081 - 1091
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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