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

Ulgen, Ozlem

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.

Citation

Ulgen, O. (2020, July). User Rights and Adaptive A/IS – From Passive Interaction to Real Empowerment

• Presentation Conference Type: Edited Proceedings
• 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