Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care

Piskopani, Anna Maria; Webb, Helena; Caleb-Solly, Praminda

Abstract

Robotics and Artificial Intelligence (RAI) offers the opportunity to ameliorate the quality of life for people with health issues. However, there are still considerable barriers linked to the lack of acceptance of these technologies, particularly as they require intensive personal data collection and analysis for monitoring health. We organized two public engagement events for science communication, adopting a Knowledge Café model with the intention of helping people get a better understanding of the potential benefits of these technologies and privacy risks. While personal data plays an important role in the development of these technologies, there has been insufficient public awareness and engagement to ensure informed consent. By hosting Knowledge Cafés, our aim is to provide scenarios of how Robotics and AI could support health and well-being, while surfacing the risks. Our objective was to highlight and discuss ethical, social and legal concerns, facilitating members of the general public to engage with different perspectives, generate ideas to mitigate these risks, together with gaining a deeper understanding of their needs and preferences for beneficial uses of RAI in healthcare.

Citation

Piskopani, A. M., Webb, H., & Caleb-Solly, P. (2023, July). Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care. Presented at TAS '23: First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

• Presentation Conference Type: Edited Proceedings
• Conference Name: TAS '23: First International Symposium on Trustworthy Autonomous Systems
• Start Date: Jul 11, 2023
• End Date: Jul 12, 2023
• Acceptance Date: Jul 11, 2023
• Online Publication Date: Jul 11, 2023
• Publication Date: Jul 11, 2023
• Deposit Date: Sep 27, 2023
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Article Number: 30
• Book Title: TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems
• ISBN: 9798400707346
• DOI: https://doi.org/10.1145/3597512.3599700
• Public URL: https://nottingham-repository.worktribe.com/output/22727181
• Publisher URL: https://dl.acm.org/doi/10.1145/3597512.3599700