The age of artificial intelligence
Frankland, Joe Mulrooney, Will Crosland, Charles Macmillan, Jack
Frankland, Joe
Mulrooney, Will
Crosland, Charles
Macmillan, Jack
Citations
Altmetric:
Journal Title
Book Title
Publication Volume
Publication Issue
Publication Begin Page
Publication End Page
Publication Number of Pages
Collections
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.