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Ethical Challenges and Innovations in AI-Driven Healthcare and Engineering: A Review of Blockchain, Cybersecurity, Data Privacy, and Knowledge Management
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Author(s): Sunakshi Mehra (Galgiatias University, India), Meena Rao (Department of Electronics and Communication Engineering, Maharaja Surajmal Institute of Technology, India), Ankit Vijay Bansal (Bennett University, India), Nitasha Rathore (Bharati Vidyapeeth's College of Engineering, New Delhi, India), Sagar Sidana (Department of Computer Science and Engineering, Maharshi Dayanand University, India), Sandeep Raj (Dronacharya College of Engineering, India), Anurag Sinha (School of Computing and Information Science, IGNOU, New Delhi, India), G. Madhukar Rao (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, India), Rejuwan Shamim (Department of Computer Science and Engineering With Data Science, Maharishi University of Information Technology, India), Neetu Singh (Bharati Vidyapeeth's College of Engineering, New Delhi, India)and Biresh Kumar (Amity University, Ranchi, India)
Copyright: 2025
Pages: 24
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.ch015
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Abstract
This paper provides a comprehensive review of the ethical considerations and technological advancements associated with artificial intelligence (AI) in both healthcare and engineering domains. It examines the role of blockchain technology in enhancing data privacy and cybersecurity, and explores the impact of AI on knowledge management and innovation processes in engineering. In the healthcare sector, the integration of AI raises critical ethical questions regarding data privacy and security, necessitating robust solutions to safeguard sensitive information. Blockchain technology offers a promising framework for secure data sharing and management, addressing concerns related to cybersecurity and compliance with legal standards such as ISO 27001 and general data protection regulations. In parallel, AI's influence on knowledge management and innovation in engineering is significant, transforming how information is managed and utilized to drive technological progress.
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