The National Alliance against Disparities in Patient Health (NADPH) recently published a Roundtable Discussion in the peer-reviewed journal Big Data. The expert panel discussed the importance of embedding ethics and equity into artificial intelligence (AI) and machine learning (ML) infrastructure. The panelists discussed the kinds of evidence or use cases that could support the development of ethical principles or standards to guide AI/ML infrastructure development and implementation in health research settings. They also examined the ethical imperatives to which AI/ML infrastructure engineers and system designers should adhere.
