01 Aug 2022 - 01 Aug 2023
01 Aug 2022 - 01 Aug 2023 In today’s world, we are surrounded by a variety of Autonomous AUdio Systems (AAUS). Audio capture may contain personal identity attributes of voice and speech that are protected in the scope of individual rights. This data can also be misused by attackers, highlighting key issues of data protection, privacy, and security. AAUS encompasses the wide breadth of devices and systems that are enabled for audio and speech capture, such as home devices, smart watches, virtual assistants, and audio-enabled vehicles.
The intersection of these issues requires an understanding of how people experience trust toward AAUS in a variety of contexts. This project will explore how people creatively construct their perception of these issues in context. From a privacy perspective, building trust involves controlling access to information that is found in audio. Security spans the ways that audio data can be used or potentially misused. In this project, we will co-design, implement and administer an interactive listening survey wherein participants may choose how to modify audio in various contexts and imagined scenarios where trust is involved. From our analysis, we will investigate ways that individual protections and trust of AAUS could be increased.
The Next Big Thing in Trustworthy AI: Codesign of Context Aware Trustworthy Audio Capture
Research Fellow in Citizen-Centric AI Systems, University of Southampton
Senior Research Fellow, University of Nottingham
Research Fellow in Machine Learning and Computer Vision, University of Southampton
Research Fellow in IT Law, University of Nottingham
Professor of Law, Regulation and Governance, University of Nottingham
Assistant Professor in Law and Autonomous Systems, University of Nottingham
Professor of Computer Science, University of Nottingham
Lecturer in Computer Science, University of Southampton
Professor of Artificial Intelligence, TAS Hub Director, University of Southampton