By: Sharon Mah
Faculty of Health Sciences (SFU FHS) assistant professor, Jean-Christophe Bélisle-Pipon is co-leading a team with professeure titulaire Vardit Ravitsky from Université de Montréal that will contribute to developing new knowledge, resources and guidance and establishing standards for ‘ethical trustworthiness’ for two projects within Bridge to Artificial Intelligence (Bridge2AI): Voice as a Biomarker of Health (‘Voice’), and Cell Maps for Artificial Intelligence (CM4AI).
Bridge2AI is a new initiative of the National Institutes of Health that will invest funds over a four year period to accelerate the widespread use of artificial intelligence (AI) by the biomedical and behavioural research communities.
“Voice-data and human cell maps research are both emerging research fields, and at present, there is little to no guidance with respect to the ethical, legal and social implications of this work,” says Bélisle-Pipon. “Within the Bridge2AI collaboration, there will be an opportunity for Dr. Ravitsky and myself to identify, anticipate, address, and provide guidance to other researchers creating datasets that will be compiled for use in AI applications. Our work will anticipate and address ethical challenges such as inclusion, diversity, privacy, consent, data ownership and sharing, AI transparency, and potential bias.”
“We intend to develop this module by using the approach of ethics inquiry through a continuum, starting from data generation and AI research and development, continuing into clinical adoption of the datasets, and extending to downstream patient health decisions and outcomes,” says Ravitsky.
During the first year of their work on the ethics module for Bridge2AI, Bélisle-Pipon and Ravitsky will establish the groundwork for voice-specific and cell maps-specific bioethical conceptual frameworks that will be informed by patient and stakeholder preferences and values. This investigation will be anchored in consensus-building, and will involve extensive collaboration with leading researchers in approximately 20 institutions across North America involved in Voice and CM4AI.
“This is an extraordinary opportunity to root this important health AI research in a strong ethical grounding so that it doesn’t perpetuate health inequities or ethical problems that may occur during data collection, analysis, or deployment,” observes Bélisle-Pipon. “AI has incredible potential to address and possibly solve some of our most pressing health challenges. It’s essential that diversity is integrated into the development of these tools and resources so that we can increase representation of historically marginalized people in the data. This will reduce biases and ultimately improve the effectiveness of the technologies that will be derived from this research.”
Each project within this initiative brings together team members from diverse disciplines and backgrounds from across the US and Canada to generate ethically-sourced tools, resources and richly detailed state-of-the-art data sets that are responsive to AI approaches. The Voice as a Biomarker for Health module is being co-led by assistant professor Yael Bensoussan with the University of South Florida, and professor Olivier Elemento of Weil Cornell Medicine. Cell Maps for Artificial Intelligence is being headed by professor Trey Ideker of UC San Diego.