This project is a collaboration that aims to (1) identify and analyze ethical and legal challenges in the use of digital phenotyping for mental health applications, (2) identify how values are embedded in technology design (including data collection and the use of AI), (3) develop and establish best practices and implementation for industry, and (4) inform development of practical guidance for conducting ethical consultation as collaboration between bioethics scholars and industry.
Our Grants
Ethical and Legal Challenges in the Use of Digital Phenotyping for Mental Health Applications
Nicole Martinez-Martin, JD, PhD
Stanford University
Stanford University
Grant Type
Making a Difference
Grant Cycle
spring 2018
Duration
18 months
Amount
$51,487
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Nicole Martinez-Martin et al., Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study, Journal of Medical Internet Research, July 2021
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Nicole Martinez-Martin et al., Ethical issues in using ambient intelligence in health-care settings, The Lancet, February 2021
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Nicole Martinez-Martin et al., Digital Contact Tracing, Privacy, and Public Health, The Hastings Center Report, June 2020
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Nicole Martinez-Martin et al., Data mining for health: staking out the ethical territory of digital phenotyping, npj Digital Medicine, December 2018
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Grant Focus Areas
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