Safe Audio AI Services in Smart Buildings
Safe Audio AI Services in Smart Buildings
Audio AI services present an opportunity to conceptualise smart buildings in a new light. Microphones can capture fine-grained audio information that can be used for determining how many people are inside of a building, where they are, and what kinds of activities are taking place. This information can feed into smart
resource management systems or it could be used for assistive technologies. Generally speaking, audio is regarded as a less intrusive type of information collection than video surveillance, but significant issues of privacy and security persist with audio capture. Such issues warrant a serious discussion about how safe it is to use audio-capture in smart buildings for AI decision-making. This
position paper initiates a discussion of research directions for the safety of audio services related to three key areas: data degradation strategies, dynamic customisation of tools, and privacy-aware technologies. In each area, we identify key challenges and highlight solution concepts with the potential to address the issue.
accessibility, audio, occupancy, privacy, smart buildings
266-269
Williams, Jennifer
3a1568b4-8a0b-41d2-8635-14fe69fbb360
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
9 November 2022
Williams, Jennifer
3a1568b4-8a0b-41d2-8635-14fe69fbb360
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Williams, Jennifer, Yazdanpanah, Vahid and Stein, Sebastian
(2022)
Safe Audio AI Services in Smart Buildings.
ACM BuildSys 2022.
09 - 10 Nov 2022.
.
(doi:10.1145/3563357.3564076).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Audio AI services present an opportunity to conceptualise smart buildings in a new light. Microphones can capture fine-grained audio information that can be used for determining how many people are inside of a building, where they are, and what kinds of activities are taking place. This information can feed into smart
resource management systems or it could be used for assistive technologies. Generally speaking, audio is regarded as a less intrusive type of information collection than video surveillance, but significant issues of privacy and security persist with audio capture. Such issues warrant a serious discussion about how safe it is to use audio-capture in smart buildings for AI decision-making. This
position paper initiates a discussion of research directions for the safety of audio services related to three key areas: data degradation strategies, dynamic customisation of tools, and privacy-aware technologies. In each area, we identify key challenges and highlight solution concepts with the potential to address the issue.
Text
ACM_BuildSys_2022__July_29____4_page_Note
More information
Accepted/In Press date: 2022
Published date: 9 November 2022
Additional Information:
Funding Information:
This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) through the Trustworthy Autonomous Systems Hub (EP/V00784X/1) and a Turing AI Acceleration Fellowship on Citizen-Centric AI Systems (EP/V022067/1).
Publisher Copyright:
© 2022 ACM.
Venue - Dates:
ACM BuildSys 2022, 2022-11-09 - 2022-11-10
Keywords:
accessibility, audio, occupancy, privacy, smart buildings
Identifiers
Local EPrints ID: 470211
URI: http://eprints.soton.ac.uk/id/eprint/470211
PURE UUID: 35d67b39-a78e-48c5-a02c-5c4a5037a4a1
Catalogue record
Date deposited: 04 Oct 2022 16:49
Last modified: 17 Mar 2024 04:12
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Contributors
Author:
Jennifer Williams
Author:
Vahid Yazdanpanah
Author:
Sebastian Stein
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