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Indigenous sovereignty in research and epistemic justice: Truth telling through research.
Glob Public Health
December 2025
Health Sciences, Wilfrid Laurier University, Waterloo, Canada.
Indigenous ways of knowing, being and doing are based on embodied sovereignty, relationality and countless generations of knowledge sharing. We call for in which Indigenous knowledge systems are recognised and valued in research-related contexts. We draw attention to how colonial knowledge systems silence, delegitimise and devalue specific knowers and ways of knowing, being and doing - through truth telling.
View Article and Find Full Text PDFBias in medical AI: Implications for clinical decision-making.
PLOS Digit Health
November 2024
Department of Radiology & Biomedical Imaging, Yale University, New Haven, Connecticut, United States of America.
Biases in medical artificial intelligence (AI) arise and compound throughout the AI lifecycle. These biases can have significant clinical consequences, especially in applications that involve clinical decision-making. Left unaddressed, biased medical AI can lead to substandard clinical decisions and the perpetuation and exacerbation of longstanding healthcare disparities.
View Article and Find Full Text PDFThis essay examines the impact of linguistic choices on the perception and regulation of assisted dying, particularly in Canada. It argues that euphemistic terms like "medical assistance in dying" and its acronym, "MAID," serve to normalize the practice, potentially obscuring its moral gravity. This contrasts with what is seen in Belgium and the Netherlands, where terms like "euthanasia" are used, as well as in France and the United Kingdom, where terminology remains divisive and contested.
View Article and Find Full Text PDFThe Dual Nature of AI in Information Dissemination: Ethical Considerations.
JMIR AI
October 2024
Institute of Biomedical Ethics and History of Medicine, University of Zurich, Switzerland, Zurich, Switzerland.
Infodemics pose significant dangers to public health and to the societal fabric, as the spread of misinformation can have far-reaching consequences. While artificial intelligence (AI) systems have the potential to craft compelling and valuable information campaigns with positive repercussions for public health and democracy, concerns have arisen regarding the potential use of AI systems to generate convincing disinformation. The consequences of this dual nature of AI, capable of both illuminating and obscuring the information landscape, are complex and multifaceted.
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