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The collection of speech data for the assessment of cognition remotely: Balancing ethical and practical challenges

Saunders, Stina, Haider, Fasih, Lanzi, Alyssa M., MacWhinney, Brian, Fromm, Davida, Chou, Chia‐Ju, Liu, Yi‐Chien, Chang, Ya‐Ning, Gregory, Sarah, Ritchie, Craig, Lazarou, Ioulietta, Nikolopoulos, Spiros, Kompatsiaris, Ioannis, Danso, Samuel O., Muniz‐Terrera, Graciela, Orozco‐Arroyave, Juan Rafael, Perez‐Toro, Paula Andrea, Cesario, Raquel Rangel, Cesario, Manuel and Luz, Saturnino (2026) The collection of speech data for the assessment of cognition remotely: Balancing ethical and practical challenges. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 18 (2): e70341. e70341. ISSN 2352-8729

Item Type: Article

Abstract

Speech biomarkers could form a critical step in improving the accessibility, scalability, and early detection of Alzheimer's disease and related dementias. However, ethical and practical challenges remain across regulatory and cultural contexts. In this paper, we briefly review the challenges in adopting speech biomarkers, relate our experiences globally to recent advances in the neurodegenerative field, and consider how speech assessments could be integrated into clinical care. Insights from high‐ and low‐ and middle‐income countries (Taiwan, Ghana, Colombia, Brazil, Greece, UK, and US) demonstrate the potential impact of speech technology. While there are common benefits, risks, incentives, and hurdles, many aspects are specific to country or region. There is a need for more speech data sets (particularly in languages other than English), standardization in data collection and analysis, stronger collaboration between machine learning and neurodegenerative disease experts, unified privacy regulation, and finally, a consensus on the clinical interpretation of speech biomarker data.

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Additional Information: ** Article version: VoR ** From Wiley via Jisc Publications Router ** History: received 01-09-2025; rev-recd 13-03-2026; accepted 25-03-2026; ppub 01-04-2026; epub 08-06-2026. ** Licence for VoR version of this article: http://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords: Alzheimer's disease, outcome measures, speech biomarkers, brain health, detection of cognitive decline
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SWORD Depositor: Publication Router
Depositing User: Publication Router

Identifiers

Item ID: 20322
Identification Number: 10.1002/dad2.70341
ISSN: 2352-8729
URI: https://sure.sunderland.ac.uk/id/eprint/20322
Official URL: https://alz-journals.onlinelibrary.wiley.com/doi/1...

Users with ORCIDS

ORCID for Stina Saunders: ORCID iD orcid.org/0000-0003-3323-2505
ORCID for Saturnino Luz: ORCID iD orcid.org/0000-0001-8430-7875

Catalogue record

Date Deposited: 13 Jun 2026 13:47
Last Modified: 13 Jun 2026 13:47

Contributors

Author: Stina Saunders ORCID iD
Author: Saturnino Luz ORCID iD
Author: Fasih Haider
Author: Alyssa M. Lanzi
Author: Brian MacWhinney
Author: Davida Fromm
Author: Chia‐Ju Chou
Author: Yi‐Chien Liu
Author: Ya‐Ning Chang
Author: Sarah Gregory
Author: Craig Ritchie
Author: Ioulietta Lazarou
Author: Spiros Nikolopoulos
Author: Ioannis Kompatsiaris
Author: Samuel O. Danso
Author: Graciela Muniz‐Terrera
Author: Juan Rafael Orozco‐Arroyave
Author: Paula Andrea Perez‐Toro
Author: Raquel Rangel Cesario
Author: Manuel Cesario

University Divisions

Faculty of Business and Technology > School of Computer Science and Engineering

Subjects

Psychology > Neuropsychology
Computing
Psychology
Sciences

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