Table 2 Summary of the artificial intelligence-related ethical issues in the case of the ED.

From: The future of medicine or a threat? Artificial intelligence representation in Chicago Med

Ethical issue

Representation in the storyline

Transparency

OpioHealth gives false alarms about patients suspected of drug abuse: the data-building method of the system is unknown.

Selective adherence

The ED specialists’ attitudes towards AI influence their reliance on decision-support systems.

In a triage situation, an AI system suggests the most rational choices, while an ED doctor cannot exclude his emotions from the prioritizing.

Instead of relying on the suggestion of an AI search engine, an ED doctor solves a case by simply using his vision.

A confused patient endangers herself because an AI system lets her know all the potential diagnoses—among which her doctor excludes the improbable ones.

Automation bias

Responsibility gap

Hallucination

Unequal access

Patients lose access to healthcare if the hospital becomes a highly technologized private institution.

Political dimensions

Healthcare workers can lose their jobs because of technological developments.

The hospital’s access to the advanced technologies is conditional on the changing of its financial and governance model.