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Principles and Frameworks

Principles and Frameworks
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Author(s): Banala Subash (Independent Researcher, USA)and Pawan Whig (VIPS, India)
Copyright: 2025
Pages: 22
Source title: Ethical Dimensions of AI Development
Source Author(s)/Editor(s): Pronaya Bhattacharya (Amity University, Kolkata, India), Ahdi Hassan (Global Institute for Research Education and Scholarship, The Netherlands), Haipeng Liu (Centre for Intelligent Healthcare, Coventry University, UK)and Bharat Bhushan (Sharda University, India)
DOI: 10.4018/979-8-3693-4147-6.ch001

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Abstract

This chapter delves into the foundational principles and frameworks that underpin the ethical development and deployment of artificial intelligence (AI). It begins by exploring the historical context and evolution of AI ethics, highlighting key philosophical and theoretical underpinnings. The chapter then examines core ethical principles such as beneficence, non-maleficence, autonomy, justice, and explicability, discussing their relevance and application in AI. Various ethical frameworks, including consequentialism, deontology, and virtue ethics, are analyzed in the context of AI decision-making processes. Additionally, the chapter addresses the role of international guidelines and regulatory standards in shaping ethical AI practices. By providing a comprehensive overview of these principles and frameworks, this chapter lays the groundwork for understanding the complex ethical landscape of AI and offers guidance for developing responsible and human-centered AI technologies.

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