POSTHUMAN ETHICS IN DIGITAL HEALTH: REIMAGINING AUTONOMY, CONSENT, AND RESPONSIBILITY IN AI-AUGMENTED CARE

The integration of artificial intelligence (AI) into digital health systems is transforming clinical decision-making,patient monitoring, and healthcare delivery at an unprecedented pace. This technological shift demands a radicalrethinking of traditional biomedical ethics frameworks, particularly concerning autonomy, consent, andresponsibility. From a broader perspective, posthuman ethics offers a philosophical lens that challengesanthropocentric assumptions, urging us to consider non-human agencies, distributed cognition, and techno-humanentanglements in ethical deliberations. By decentering the human subject and acknowledging the active role of AIsystems in shaping clinical environments, posthuman ethics enables a more nuanced and inclusive ethicalparadigm for digital health. As care becomes increasingly mediated by intelligent machines capable ofautonomous action and decision-support, the conventional notion of individual autonomy—grounded in rational,self-determined human agents—faces significant disruption. Similarly, informed consent must bereconceptualized to account for opaque algorithmic processes, evolving patient-machine relationships, and thedynamic nature of data-driven care. Responsibility, traditionally traced to discrete human actors such as cliniciansor institutions, must now grapple with the distributed and often unpredictable behavior of AI systems embeddedin complex socio-technical networks. This paper explores how posthuman ethics can help reimagine autonomy,consent, and responsibility in AI-augmented healthcare, advocating for ethical models that reflect hybrid agencies,relational ontologies, and continuous negotiation of care. It proposes a shift from individualistic, static principlesto adaptive, context-sensitive approaches that align with the realities of AI-integrated health systems. In doing so,it contributes to a critical, future-facing dialogue on how to ethically govern emerging digital health technologiesin ways that promote justice, trust, and shared accountability

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-06
DOI
https://doi.org/10.5281/zenodo.15161752
Citations
1
Primary Topic
Primary Care and Health Outcomes
Type
article
Field-Weighted Citation Impact
2.82
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article

POSTHUMAN ETHICS IN DIGITAL HEALTH: REIMAGINING AUTONOMY, CONSENT, AND RESPONSIBILITY IN AI-AUGMENTED CARE

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Primary Care and Health Outcomes
2.82
article

POSTHUMAN ETHICS IN DIGITAL HEALTH: REIMAGINING AUTONOMY, CONSENT, AND RESPONSIBILITY IN AI-AUGMENTED CARE

article en
1 citations

Abstract

The integration of artificial intelligence (AI) into digital health systems is transforming clinical decision-making,patient monitoring, and healthcare delivery at an unprecedented pace. This technological shift demands a radicalrethinking of traditional biomedical ethics frameworks, particularly concerning autonomy, consent, andresponsibility. From a broader perspective, posthuman ethics offers a philosophical lens that challengesanthropocentric assumptions, urging us to consider non-human agencies, distributed cognition, and techno-humanentanglements in ethical deliberations. By decentering the human subject and acknowledging the active role of AIsystems in shaping clinical environments, posthuman ethics enables a more nuanced and inclusive ethicalparadigm for digital health. As care becomes increasingly mediated by intelligent machines capable ofautonomous action and decision-support, the conventional notion of individual autonomy—grounded in rational,self-determined human agents—faces significant disruption. Similarly, informed consent must bereconceptualized to account for opaque algorithmic processes, evolving patient-machine relationships, and thedynamic nature of data-driven care. Responsibility, traditionally traced to discrete human actors such as cliniciansor institutions, must now grapple with the distributed and often unpredictable behavior of AI systems embeddedin complex socio-technical networks. This paper explores how posthuman ethics can help reimagine autonomy,consent, and responsibility in AI-augmented healthcare, advocating for ethical models that reflect hybrid agencies,relational ontologies, and continuous negotiation of care. It proposes a shift from individualistic, static principlesto adaptive, context-sensitive approaches that align with the realities of AI-integrated health systems. In doing so,it contributes to a critical, future-facing dialogue on how to ethically govern emerging digital health technologiesin ways that promote justice, trust, and shared accountability

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Primary Care and Health Outcomes
2.82
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