[HTML][HTML] Reflections on putting AI ethics into practice: how three AI ethics approaches conceptualize theory and practice
Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too
principles-oriented and entail a theory–practice gap. Several applied ethical approaches try …
principles-oriented and entail a theory–practice gap. Several applied ethical approaches try …
Data solidarity: a blueprint for governing health futures
We live in an era of inequalities, many of which are being increased by digital technologies.
Moreover, as noted by the Lancet and Financial Times Commission,“business models …
Moreover, as noted by the Lancet and Financial Times Commission,“business models …
Datafication genealogies beyond algorithmic fairness: Making up racialised subjects
A Valdivia, M Tazzioli - Proceedings of the 2023 ACM Conference on …, 2023 - dl.acm.org
A growing scholarship has discussed how datafication is grounded on algorithmic
discrimination. However, these debates only marginally address how racialised …
discrimination. However, these debates only marginally address how racialised …
[HTML][HTML] Stimulating solidarity to improve knowledge on medications used during pregnancy: A contribution from the ConcePTION project
Background Pregnant people have been overlooked or excluded from clinical research,
resulting in a lack of scientific knowledge on medication safety and efficacy during …
resulting in a lack of scientific knowledge on medication safety and efficacy during …
A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring
Radio detection and ranging-based (radar) sensing offers unique opportunities for
biomedical monitoring and can help overcome the limitations of currently established …
biomedical monitoring and can help overcome the limitations of currently established …
[HTML][HTML] Transparent human–(non-) transparent technology? The Janus-faced call for transparency in AI-based health care technologies
T Ott, P Dabrock - Frontiers in Genetics, 2022 - frontiersin.org
The use of Artificial Intelligence and Big Data in health care opens up new opportunities for
the measurement of the human. Their application aims not only at gathering more and better …
the measurement of the human. Their application aims not only at gathering more and better …
Choreographing for public value in digital health?
Entanglements between public and private entities in digital health are not new, yet we do
not have full insight into how these public-private dances are choreographed or what …
not have full insight into how these public-private dances are choreographed or what …
[HTML][HTML] Tackling structural injustices: on the entanglement of visibility and justice in emerging technologies
In today's world, Artificial Intelligence plays a central role in many decision-making
processes. However, its use can lead to structural and epistemic injustices—especially in …
processes. However, its use can lead to structural and epistemic injustices—especially in …
[HTML][HTML] Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation
Background Big data and AI applications now play a major role in many health contexts.
Much research has already been conducted on ethical and social challenges associated …
Much research has already been conducted on ethical and social challenges associated …
[HTML][HTML] Surveillance Capitalism in Mental Health: When Good Apps Go Rogue (and What Can Be Done about It)
N Gross, D Mothersill - Social Sciences, 2023 - mdpi.com
Research shows that a large proportion of the world's population has experience with
mental health difficulties, and reliable as well as scalable care is urgently needed. Digital …
mental health difficulties, and reliable as well as scalable care is urgently needed. Digital …