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User Rights and Adaptive A/IS – From Passive Interaction to Real Empowerment

Ulgen, Ozlem

Authors



Contributors

Robert A. Sottilare
Editor

Jessica Schwarz
Editor

Abstract

Adaptive autonomous intelligent systems (A/IS) may satisfy design functionality and user experiential requirements but prior to deployment an assessment must be made of their impact on user rights. A/IS systems may assist rather than replace humans but it is unclear where the line is drawn between supplementing human endeavour and knowledge, on the one hand, and gradual erosion of human cognitive abilities on the other. This paper makes the case for development of ethical standards for user awareness of A/IS in operation, taking account of rights under the EU General Data Protection Regulation (GDPR) and the Council of Europe Modernised Convention for the Protection of Individuals with Regard to Automatic Processing of Personal Data (Convention 108+). It sets out three main user awareness stages (pre-use, during-use, and post-use) along with consideration of commensurate rights. In the pre-use stage potential users will need to be aware that an A/IS is either fully or partially in operation, and consent to such an operation or have the option to opt out. During A/IS use if there is a part of the A/IS operation which involves a “black box” scenario, that is, it is difficult for a human to discern what the system is doing and why, then appropriate risk-based parameters need to be set for the systems use. Post-use requires users to be aware of how their data and information shared with the A/IS will be used by the system and any third parties.

Conference Location Copenhagen, Denmark
Start Date Jul 19, 2020
End Date Jul 24, 2020
Acceptance Date Jul 1, 2020
Online Publication Date Jul 10, 2020
Publication Date Jun 30, 2020
Deposit Date Nov 8, 2022
Publisher Springer Verlag
Pages 205-217
Series Title Lecture Notes in Computer Science
Series Number 12214
Series ISSN 1611-3349
Book Title Adaptive Instructional Systems: Second International Conference, AIS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020
ISBN 9783030507879
DOI https://doi.org/10.1007/978-3-030-50788-6_15
Public URL https://nottingham-repository.worktribe.com/output/13181144
Publisher URL https://link.springer.com/chapter/10.1007/978-3-030-50788-6_15