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Safe Audio AI Services in Smart Buildings

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
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Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
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. pp. 266-269 . (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.

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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
ORCID for Jennifer Williams: ORCID iD orcid.org/0000-0003-1410-0427
ORCID for Vahid Yazdanpanah: ORCID iD orcid.org/0000-0002-4468-6193
ORCID for Sebastian Stein: ORCID iD orcid.org/0000-0003-2858-8857

Catalogue record

Date deposited: 04 Oct 2022 16:49
Last modified: 17 Mar 2024 04:12

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Contributors

Author: Jennifer Williams ORCID iD
Author: Vahid Yazdanpanah ORCID iD
Author: Sebastian Stein ORCID iD

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