A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance

David Arney; Max Senges; Sara Gerke; Cansu Canca; Laura Haaber Ihle; Annabel Kupke; Ashveena Gajeelee; Stephen Lynch; Luis Meléndez-Cintrón

doi:10.2139/ssrn.3385398

A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance

David Arney, Max Senges, Sara Gerke, Cansu Canca, Laura Haaber Ihle, Annabel Kupke, Ashveena Gajeelee, Stephen Lynch, Luis Meléndez-Cintrón

Research output: Working paper › Discussion paper

Abstract

AI-enabled health technology holds significant promise for improving health outcomes and clinical workflows. However, it also generates challenges for health data governance and security. More specifically, apps that involve AI health coaching (e.g., an AI-mediated dialogue between the user and healthcare providers) evoke concerns about medical paternalism and privacy as well as the need for encompassing a broad range of individual understandings of what constitutes a good life. Leveraging a transdisciplinary approach, this paper sets forth a research agenda for stakeholders to proactively collaborate and design AI technologies that work with users to improve their health and wellbeing.

Original language	English (US)
Number of pages	18
DOIs	https://doi.org/10.2139/ssrn.3385398
State	Published - May 31 2019
Externally published	Yes

Keywords

AI
AI-Enabled Health Technology
AI Ethics
Health Data Governance and Security
AI Health Coaching

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10.2139/ssrn.3385398

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title = "A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance",

abstract = "AI-enabled health technology holds significant promise for improving health outcomes and clinical workflows. However, it also generates challenges for health data governance and security. More specifically, apps that involve AI health coaching (e.g., an AI-mediated dialogue between the user and healthcare providers) evoke concerns about medical paternalism and privacy as well as the need for encompassing a broad range of individual understandings of what constitutes a good life. Leveraging a transdisciplinary approach, this paper sets forth a research agenda for stakeholders to proactively collaborate and design AI technologies that work with users to improve their health and wellbeing.",

keywords = "AI, AI-Enabled Health Technology, AI Ethics, Health Data Governance and Security, AI Health Coaching",

author = "David Arney and Max Senges and Sara Gerke and Cansu Canca and Ihle, {Laura Haaber} and Annabel Kupke and Ashveena Gajeelee and Stephen Lynch and Luis Mel{\'e}ndez-Cintr{\'o}n",

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AU - Arney, David

AU - Senges, Max

AU - Gerke, Sara

AU - Canca, Cansu

AU - Ihle, Laura Haaber

AU - Kupke, Annabel

AU - Gajeelee, Ashveena

AU - Lynch, Stephen

AU - Meléndez-Cintrón, Luis

PY - 2019/5/31

Y1 - 2019/5/31

N2 - AI-enabled health technology holds significant promise for improving health outcomes and clinical workflows. However, it also generates challenges for health data governance and security. More specifically, apps that involve AI health coaching (e.g., an AI-mediated dialogue between the user and healthcare providers) evoke concerns about medical paternalism and privacy as well as the need for encompassing a broad range of individual understandings of what constitutes a good life. Leveraging a transdisciplinary approach, this paper sets forth a research agenda for stakeholders to proactively collaborate and design AI technologies that work with users to improve their health and wellbeing.

AB - AI-enabled health technology holds significant promise for improving health outcomes and clinical workflows. However, it also generates challenges for health data governance and security. More specifically, apps that involve AI health coaching (e.g., an AI-mediated dialogue between the user and healthcare providers) evoke concerns about medical paternalism and privacy as well as the need for encompassing a broad range of individual understandings of what constitutes a good life. Leveraging a transdisciplinary approach, this paper sets forth a research agenda for stakeholders to proactively collaborate and design AI technologies that work with users to improve their health and wellbeing.

KW - AI

KW - AI-Enabled Health Technology

KW - AI Ethics

KW - Health Data Governance and Security

KW - AI Health Coaching

U2 - 10.2139/ssrn.3385398

DO - 10.2139/ssrn.3385398

M3 - Discussion paper

BT - A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance

ER -

A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance

Abstract

Keywords

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