It is suggested that the greatest threat to fairness and transparency when it comes to AI may not be people deliberately trying to cause harm, but rather a widespread culture of apathy and complacency that prevents people from taking action.
Abstract
This paper considers the connection between fairness and unfairness from a theoretical standpoint, highlighting the importance of critically evaluating the potential impact of artificial intelligence (AI) tools on patients' perception of healthcare justice. The arguments and analysis are framed within the context of Hannah Arendt's concept of the 'banality of evil' and Miranda Fricker's concept of 'epistemic injustice'. The article suggests that the greatest threat to fairness and transparency when it comes to AI may not be people deliberately trying to cause harm, but rather a widespread culture of apathy and complacency that prevents people from taking action. The paper concludes that renewing patients' commitment to critical thinking and encouraging them to take greater personal responsibility are key. More active and engaged citizenship is also required. By cultivating critical reflection, prioritising data privacy, promoting collective support, building emotional resilience, and advocating for ethical AI, individuals can transform their healthcare into a formidable bulwark against those who seek to curtail their autonomy and stifle their voices. This comprehensive healthcare strategy is about more than just the individual's welfare. It is also about creating a fair, self-governing society in which the potential of each person as a smart, active participant is recognised and protected.
The article develops a Five-Principle Workplace AI Safeguard Matrix that links each principle to design evidence, organisational evidence and worker-facing evidence, and proposes Occupational AI Safeguard Rounds as a recurring interdisciplinary review practice connecting ethics, engineering, participation and redress.
Trust, once the cornerstone of the traditional patient-clinician relationship, is shifting toward new digital channels led by healthcare micro-influencers. These patient-led voices are reshaping how individuals seek, evaluate, and act upon health information, creating both unprecedented opportunities and significant ri...
Srinivas Mendu· American Journal of Healthca...· 0 citations
This dissertation examines the ethical dimension of personal health monitoring within the Netherlands Armed Forces and explores how ethical awareness and critical reflection can be fostered to support its responsible development, use, and evaluation and recommends the integration of ethical reflection throughout all ph...
An argumentative synthesis based on a systematic literature review of vulnerable individuals and populations from January 2015 to August 2025 concludes that the ethical quality of clinical, institutional, and regulatory responses depends on achieving a balance between protection and inclusion through personalized asses...
María Antonia Quesada Blasco, L. E. Echarte-Alonso, M. V. Roqué-Sánchez· Cuadernos de bioética· 0 citations
Clinical ethics rightly emphasizes truthful disclosure, informed consent and respect for autonomy. Yet in serious illness care, patients and families often cognitively understand the information offered before they can morally inhabit it. This paper develops the concept of the moral timing of care: disciplined attentio...
Whilst the use of artificial intelligence (AI) in healthcare is growing, with promises that AI will reduce costs and improve efficiency, there is also concern that AI systems can perpetuate health inequalities. Prior work has explored patients’ trust in AI, but less attention has been given to how patients concep...
Elizabeth Remfry, Giulia Tomba, Michael R. Barnes et al.· BMC Medical Informatics and...· 0 citations
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