Towards Ethical AI in Dermatological Diagnostics

Abstract

Artificial intelligence (AI) has been a groundbreaking technology in the health sector, and dermatology is one of the earliest to adopt AI-based diagnostic systems. The deployment of this system causes significant challenges related to Responsible AI (RAI) such as decision critical tasks, patient privacy, accountability, clinician trust, and robustness. Ethical considerations are the core of chapter discussion that particularly focuses on protection of patient confidentiality through data augmentation and fairness across heterogeneous population by application of algorithmic fairness methods. The chapter also highlights the importance of user-centered system design to strengthen clinician trust and support shared decision-making. Combining both the technical innovation and an ethical background, this chapter proposes a practical implementation of how responsible AI can be embedded in clinical informatics Conclusively, it offers a practical roadmap for embedding responsible, fair, and trustworthy AI into dermatological informatics and into other high-stakes healthcare applications.

Ähnliche Arbeiten