The age of artificial intelligence

Abstract

rtificial intelligence (AI) is gradually integrating into various sectors such as finance, transportation, energy and education. Although AI is in its infancy in healthcare, it is still being used in many ways, including medical imaging, chatbots, diagnosis, treatment, and telephone triage in an ambulance setting. The introduction of AI has given rise to ethical concerns—particularly about how data are gathered and used (Gerke et al, 2020). The key attributes of AI are its ability to analyse and compare vast datasets and predict likely outcomes, hence its integration into patient triage and assessment systems. To achieve genuine impartiality and autonomy in the realm of AI, datasets utilised by such systems must possess analogous qualities (González-Gonzalo et al, 2022). Norori et al (2021) highlight statistical and social bias within healthcare datasets. Abstract published with permission.

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