TY - JOUR
T1 - “Low Risk, High Happiness”
T2 - A Review of Openly Declared Ethical and Legal Practices in Voice Biomarker Health-Tech Start-Ups
AU - B2AI-Voice Consortium
AU - Gallois, Hortense
AU - Ivkovic, Luka
AU - Evangelista, Emily
AU - Bensoussan, Yael
AU - Sigaras, Alexandros
AU - Ravitsky, Vardit
AU - Rameau, Anais
AU - Powell, Maria Ellen
AU - Payne, Philip
AU - Johnson, Alistair
AU - Ghosh, Satrajit S.
AU - Elemento, Olivier
AU - Dorr, David A.
AU - Bélisle-Pipon, Jean Christophe
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
PY - 2025
Y1 - 2025
N2 - Voice biomarker research is fueling a growing health-tech market, largely driven by start-ups. Yet, there is limited scholarship on how start-ups navigate the legal uncertainty surrounding voice data protection and the rising expectations for responsible AI. This study reviews the ethical, legal and regulatory practices as stated on the websites of 27 start-ups using voice as a biomarker in health-tech. The review reveals substantial disparities in the availability, readability and content of the information disclosed, especially regarding privacy policies, with only a few websites offering product-specific, transparent, and comprehensive privacy policies. Significant differences also emerged in the start-ups’ terms of use and regulatory compliance statements, likely reflecting the novelty of the field, disparity in legal and regulatory requirements, and the absence of sector-specific ethical guidance. For example, while most start-ups reference compliance with data protection frameworks (e.g., HIPAA, GDPR), many fall short of best practices for transparency, accountability, and user-centered communication. We argue that the success of start-ups in health-tech depends on their capacity to capture and retain the attention of potential end-users and investors. By adopting accessible, transparent and forward-looking communication on how they frame their legal and ethical responsibilities in practice, start-ups can not only ensure legal and regulatory compliance but build trust and support sustainable innovation. This work identifies key best practices for voice AI start-ups to consider and lays the foundation for future research, including surveys and longitudinal tracking, to better understand the evolving landscape of ethical and legal practices in voice biomarker and voice AI health-tech.
AB - Voice biomarker research is fueling a growing health-tech market, largely driven by start-ups. Yet, there is limited scholarship on how start-ups navigate the legal uncertainty surrounding voice data protection and the rising expectations for responsible AI. This study reviews the ethical, legal and regulatory practices as stated on the websites of 27 start-ups using voice as a biomarker in health-tech. The review reveals substantial disparities in the availability, readability and content of the information disclosed, especially regarding privacy policies, with only a few websites offering product-specific, transparent, and comprehensive privacy policies. Significant differences also emerged in the start-ups’ terms of use and regulatory compliance statements, likely reflecting the novelty of the field, disparity in legal and regulatory requirements, and the absence of sector-specific ethical guidance. For example, while most start-ups reference compliance with data protection frameworks (e.g., HIPAA, GDPR), many fall short of best practices for transparency, accountability, and user-centered communication. We argue that the success of start-ups in health-tech depends on their capacity to capture and retain the attention of potential end-users and investors. By adopting accessible, transparent and forward-looking communication on how they frame their legal and ethical responsibilities in practice, start-ups can not only ensure legal and regulatory compliance but build trust and support sustainable innovation. This work identifies key best practices for voice AI start-ups to consider and lays the foundation for future research, including surveys and longitudinal tracking, to better understand the evolving landscape of ethical and legal practices in voice biomarker and voice AI health-tech.
KW - Artificial intelligence
KW - Ethics
KW - Health-tech
KW - Legal compliance
KW - Voice as a biomarker
UR - https://www.scopus.com/pages/publications/105023437324
U2 - 10.1007/s10728-025-00539-w
DO - 10.1007/s10728-025-00539-w
M3 - Article
C2 - 41091343
AN - SCOPUS:105023437324
SN - 1065-3058
JO - Health Care Analysis
JF - Health Care Analysis
ER -