Reporting of Screening and Diagnostic AI Rarely Acknowledges Ethical, Legal and Social Implications: A Mass Media Frame Analysis

Abstract

Abstract Introduction. Healthcare is a rapidly expanding area of application for Artificial Intelligence (AI). Although there is considerable excitement about its potential, there are also substantial concerns about the negative impacts of these technologies. Since screening and diagnostic AI tools now have the potential to fundamentally change the healthcare landscape, it is important to understand how these tools are being represented to the public via the media. Methods. Using a framing theory approach, we analysed how screening and diagnostic AI was represented in the media and the frequency with which media articles addressed the benefits and the ethical, legal, and social implications (ELSIs) of screening and diagnostic AI. Results. All the media articles coded (n = 136) fit into one of three frames: social progress (n = 132), economic development (n = 59), and alternative perspectives (n = 9). The vast majority of the articles were positively framed, with 135 of the articles discussing benefits of screening and diagnostic AI, and only 9 articles discussing the ethical, legal, and social implications. Conclusions. We found that media reporting of screening and diagnostic AI was overwhelmingly positive. Screening and diagnostic AI may be represented more positively in the mass media than AI in general. This represents an opportunity for health journalists to provide publics with deeper analysis of the ethical, legal and social implications of screening and diagnostic AI, and to do so now before these technologies become firmly embedded in everyday healthcare delivery.

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