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Making AI Ethically Smart Using Semantic Networks to Bridge Bioethics and Intelligent Healthcare
0
Zitationen
3
Autoren
2025
Jahr
Abstract
As Artificial Intelligence (AI) transforms modern healthcare, ensuring that these systems act in ethically sound ways becomes paramount. This chapter introduces a reader-friendly framework centered on semantic networks graph based models that encode relationships between bioethical concepts to equip AI with the capacity for transparent, context-aware ethical reasoning. The chapter begin by illustrating the key challenges in AI powered healthcare: opaque decision logic, inconsistent application of ethical principles, and risks of bias in patient care. Next, we present semantic networks as intuitive, machine readable maps of bioethical values (autonomy, beneficence, justice, non maleficence). By linking these principles to clinical scenarios such as diagnostic support, personalized treatment planning, and end of life decisions we demonstrate how AI agents can traverse the network to justify recommendations in human understandable terms.
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