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AI in Critical Sectors: Healthcare, Education, Finance, and Security - Ethical Challenges in Generative AI
Abstract
This chapter explores the transformative impact of Artificial Intelligence (AI) across four critical sectors healthcare, education, finance, and security while addressing the profound ethical challenges arising from the rise of generative AI. It examines how AI enhances diagnostic precision, personalized learning, financial efficiency, and cyber resilience, yet simultaneously introduces risks such as bias, privacy violations, algorithmic opacity, and misinformation. The chapter emphasizes the growing need for ethical governance frameworks, fairness auditing, and transparency to maintain public trust. Furthermore, it discusses how generative AI technologies, including large language models and deepfakes, complicate issues of authorship, authenticity, and accountability. By proposing governance and mitigation strategies, this chapter contributes to understanding how ethics, trust, and regulation can ensure that AI innovation aligns with human rights, fairness, and societal well-being.
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