Ethics in AI and Computation in Automated Decision-Making

Abstract

This chapter examines the ethical complexities of Artificial Intelligence (AI) and automated decision-making systems, now integral to fields like healthcare, finance, criminal justice, and education. While AI presents immense opportunities for innovation and efficiency, it also introduces significant ethical challenges. The chapter explores foundational ethical frameworks—Utilitarianism, Deontological Ethics, and Virtue Ethics—offering insight into the moral duties guiding AI development. It examines global and international perspectives, emphasizing the cultural and regulatory variations shaping AI governance. Key ethical issues such as bias, transparency, privacy, and global impacts are explored, supported by case studies across various sectors. Emerging concerns, including deepfakes, autonomous weapons, and AI's impact on employment and inequality, are also addressed. The chapter calls for continuous dialogue and proactive governance to ensure responsible AI development for societal benefit, providing a roadmap for ethical AI governance.

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