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Accountability and Transparency Ensuring Responsible AI Development
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Author(s): Karthik Meduri (Department of Information Technology, University of the Cumberlands, USA), Srikar Podicheti (Department of Computer Science, University of the Pacific, USA), Snehal Satish (Department of Information Technology, University of the Cumberlands, USA)and Pawan Whig (VIPS, India)
Copyright: 2025
Pages: 20
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.ch004
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Abstract
In the rapidly evolving landscape of artificial intelligence (AI), the principles of accountability and transparency are pivotal in ensuring ethical and responsible development. This chapter delves into the fundamental concepts and practical applications of accountability and transparency within AI systems. It begins by outlining the importance of these principles in mitigating risks such as bias, privacy infringement, and unintended consequences. The discussion progresses to explore methodologies and frameworks that promote transparency in AI algorithms, decision-making processes, and data usage. Additionally, the chapter examines the role of stakeholders—developers, policymakers, and users—in fostering a culture of accountability throughout the AI lifecycle. Through case studies and real-world examples, this chapter aims to provide a comprehensive guide for practitioners, researchers, and policymakers striving to navigate the ethical complexities of AI development while upholding societal trust and responsibility.
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