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Developing a Medical AI Ethics Framework: Integrating Ethical Principles with Healthcare Applications Using Topic Modelling
3
Zitationen
1
Autoren
2023
Jahr
Abstract
Addressing ethical challenges in medical AI applications and promoting responsible AI practices in healthcare necessitates a medical AI ethics framework. This thesis bridges a gap in AI ethics literature by developing such a framework, integrating ethical themes with a code of ethics. Drawing on engineering ethics principles, it employs topic modeling to synthesize findings from both medical and AI ethics literature. The resulting framework outlines a step-by-step process for tailoring a code of ethics to specific fields. The ten-step research method includes problem description, statement extraction criteria, topic definition, framework development, and expert feedback. Key contributions are the medical AI ethics framework, a methodological approach for developing conceptual frameworks, an application of engineering ethics principles, and the novel use of ChatGPT as an AI tool. This framework can guide practitioners, researchers, and policymakers in addressing ethical concerns in medical AI applications.
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