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

Eszter Nádasi and Mihály Héder ()
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Eszter Nádasi: Budapest University of Technology and Economics
Mihály Héder: Budapest University of Technology and Economics

Palgrave Communications, 2024, vol. 11, issue 1, 1-10

Abstract: Abstract The eighth season of the American medical drama series Chicago Med (2015–) represented the application of artificial intelligence (AI) in a hospital environment with multiple storylines. Born in the 1950s, medical dramas are among the most popular forms of serial television. Traditionally, the genre aims for a certain amount of accuracy and has educational goals. Former studies investigated the entertainment education and cultivation effects of these series, concluding that these dramas have the potential to contribute information and shape viewers’ opinions on various health-related topics. Chicago Med is a long-running broadcast production with a worldwide audience and considerable viewership. This paper analyzes the series’ representation of medical AI and discusses how this portrayal potentially shapes the audience’s opinion. The research started by identifying artificial intelligence-related storylines in the 22 episodes of the season. The analysis focused on the reasons and outcomes of AI applications, the character’s attitudes, and the ethical issues, including transparency, selective adherence, automation bias, responsibility gap, hallucination, unequal access, and political dimensions. The storyline analysis concluded that Chicago Med provided thought-provoking positive and negative scenarios about applying different types of AI in the surgical and emergency departments. The complex portrayal included groundbreaking opportunities, challenges, dangers, and ethical considerations. The main characters’ attitudes varied, from strong support or opposition to more nuanced, shifting opinions. The educative and engaging content has a potential for knowledge transfer and encourages critical thinking about medical AI.

Date: 2024
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DOI: 10.1057/s41599-024-03810-y

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