Open Access Research Article
MANY HANDS, NO HANDS? THE PROBLEM OF MANY HANDS AND THE RESPONSIBILITY GAP IN ARTIFICIAL INTELLIGENCE-DRIVEN HEALTHCARE
Abstract
Artificial intelligence (AI) systems are moving from the laboratory into clinical practice, where they triage patients, read images, predict deterioration and recommend treatment. When such systems err, patients are harmed, yet the question of who must answer for the harm is far from settled. This paper examines two related difficulties that complicate that question: the problem of many hands, which arises because AI-enabled care is produced by dispersed developers, data custodians, regulators, hospitals and clinicians, and the responsibility gap, which arises because learning systems act in ways that no human fully predicts or controls. Drawing on the philosophical literature on moral responsibility and on legal developments in India, the United Kingdom and the European Union, the paper argues that the gap in healthcare is less a metaphysical void than an institutional failure, aggravated by opacity, algorithmic bias, automation bias and thin consent practices. It proposes a layered, role-based model of distributed responsibility, supported by documentation duties, calibrated liability rules, meaningful human oversight and compensation mechanisms, so that no injured patient is left without an answerable party.
Published Paper
Author Details
Authors: MS. NANCYRegistration ID: 1013443 | Published Paper ID: IJLRA13443Approved ISSN: 2582-6433 | Country: Delhi, IndiaPage No.: 2193-2207
Article Information
MANY HANDS, NO HANDS? THE PROBLEM OF MANY HANDS AND THE RESPONSIBILITY GAP IN ARTIFICIAL INTELLIGENCE-DRIVEN HEALTHCARE
Authors: MS. NANCY
- Journal IJLRA
- ISSN 2582-6433
- Volume 3
- Issue 7
About Journal
International Journal for Legal Research and Analysis
- AbbreviationIJLRA
- ISSN2582-6433
- AccessOpen Access
- LicenseCC 4.0
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