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Paper Type
Complete
Description
Artificial Intelligence (AI) aims to elevate healthcare to the pinnacle by aiding clinical decision support. Overcoming the challenges related to designing ethical AI will enable clinicians, physicians, healthcare professionals, and other stakeholders to use and trust AI in healthcare settings. This study attempts to identify the major ethical principles influencing the utility performance of AI at different technological levels such as data access, algorithms, and systems through a thematic analysis. We observed justice, privacy, bias, lack of regulations, risks, and interpretability are the most important principles for ethical AI. This data-driven study has analyzed secondary survey data from the Pew Research Center (2020) of 36 AI experts to categorize the top ethical principles of AI design. In order to incorporate the resolution to the ethical issues identified by the meta-analysis and domain experts, we propose a new utilitarian ethics-based theoretical framework for designing ethical AI in the healthcare domain.
Paper Number
1665
Recommended Citation
Emdad, Forhan Bin; Ho, Shuyuan Mary; Ravuri, Benhur; and Hussain, Shezin, "Towards A Unified Utilitarian Ethics Framework for Healthcare Artificial Intelligence" (2023). AMCIS 2023 Proceedings. 17.
https://aisel.aisnet.org/amcis2023/sig_health/sig_health/17
Towards A Unified Utilitarian Ethics Framework for Healthcare Artificial Intelligence
Artificial Intelligence (AI) aims to elevate healthcare to the pinnacle by aiding clinical decision support. Overcoming the challenges related to designing ethical AI will enable clinicians, physicians, healthcare professionals, and other stakeholders to use and trust AI in healthcare settings. This study attempts to identify the major ethical principles influencing the utility performance of AI at different technological levels such as data access, algorithms, and systems through a thematic analysis. We observed justice, privacy, bias, lack of regulations, risks, and interpretability are the most important principles for ethical AI. This data-driven study has analyzed secondary survey data from the Pew Research Center (2020) of 36 AI experts to categorize the top ethical principles of AI design. In order to incorporate the resolution to the ethical issues identified by the meta-analysis and domain experts, we propose a new utilitarian ethics-based theoretical framework for designing ethical AI in the healthcare domain.
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