Supporting the Governance of Sound and Trustworthy Health Data Generation for AI/ML Clinical Applications

The human voice is often referred to as a unique print for each individual and contains biomarkers that have been linked to various diseases ranging from Parkinson’s disease to dementia, mood disorders and cancers. For voice to emerge as one of the biomarkers of health, there is a pressing need for large, high quality, multi-institutional and diverse voice database linked to other health biomarkers from various data of different modalities (demographics, imaging, genomics, risk factors, etc.) to fuel voice AI research and answer tangible clinical questions. Such endeavour is only achievable through multi-institutional collaborations between voice experts and AI engineers, supported by bioethicists and social scientists to ensure the creation of ethically sourced voice databases representing our populations. This Mitacs project will be embedded in the Voice as a biomarker project, especially in helping design a functional normative framework for the governance of voice data to be widely shared and used extensively by ML/AI research and development (R&D) of clinical and therapeutic applications.

Faculty Supervisor:

Jean-Christophe Bélisle-Pipon

Student:

Partner:

Sciences Po

Discipline:

Sociology

Sector:

Education

University:

Simon Fraser University

Program: