  Artificial Intelligence (AI) aims to elevate healthcare to a pinnacle by
aiding clinical decision support. Overcoming the challenges related to the
design of 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 that justice, privacy, bias, lack of regulations, risks, and
interpretability are the most important principles to consider 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. To resolve the ethical issues identified by the meta-analysis and
domain experts, we propose a new utilitarian ethics-based theoretical framework
for designing ethical AI for the healthcare domain.
