Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust

Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust

AI has the potential to disrupt and transform the way we deliver care globally. It is reputed to be able to improve the accuracy of diagnoses and treatments, and make the provision of services more efficient and effective. In surgery, AI systems could lead to more accurate diagnoses of health proble...

Bibliográfalaš dieđut
Váldodahkki:	Kerasidou, A
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	Elsevier 2021

Geahča maid

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Corrigendum: Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians
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Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health
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COVID-19 pandemic and artificial intelligence: challenges of ethical bias and trustworthy reliable reproducibility?
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“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease
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Global gene network exploration based on explainable artificial intelligence approach.
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Data-driven research and healthcare: public trust, data governance and the NHS
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