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In this two-part blog Dr Raquel Iniesta explores the current status of AI in healthcare, what we need to consider to ensure its application is ethical and current approaches that are helping this happen, including her recent 'Five facts for the human role that guarantees an ethical AI in healthcare' that was published in the journal AI and Ethics. This first blog focusses on the reasons why we need an ethical framework to enable AI to work for healthcare.

Welcome to the Lab

The Fair Machine Learning Lab develops innovative machine learning methods and practical solutions to support fair, trustworthy and responsible artificial intelligence in healthcare. Our research spans fairness-aware machine learning, including methods to identify and mitigate bias across protected features, AI ethics, evaluation frameworks, implementation science, and the development of practical tools that support AI literacy education and risks awareness for healthcare professionals, patients and the public. We work closely with clinicians, patients, policymakers, industry and other stakeholders to co-develop ethical AI frameworks, promote AI literacy and ethics awareness, and translate research into meaningful patient and societal benefit. 

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© 2026 by Raquel Iniesta and the Fair Machine Learning Lab

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