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Unbuckling AI and ML in the Ethical and Legal Inferences of E-Business Transformation: Protrusive Consumer Privacy and Security Anxieties in Digital Disruption Era
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Author(s): Bhupinder Singh (Sharda University, India), Kittisak Wongmahesak (Shinawatra University, Thailand)and Manmeet Kaur Arora (Sharda University, India)
Copyright: 2025
Pages: 22
Source title:
AI Strategies for Social Entrepreneurship and Sustainable Economic Development
Source Author(s)/Editor(s): Poshan Yu (Soochow University, China & European Business Institute, Luxembourg & Australian Studies Centre, Shanghai University, China), Steve K.M. Wong (Big Data Ideal Lab, China & Belt and Road Blockchain Association, China)and Akhilesh Chandra Prabhakar (University of Technology, Papua New Guinea)
DOI: 10.4018/979-8-3693-6392-8.ch014
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Abstract
The evolution of e-business is closely linked to the concept digital transformation, which implies that an organization integrates its digital technologies at all levels in order for it to change fundamentally how a particular business operates; through altering not just what one does but why they do those activities. The evolution of e-business is closely linked to the concept digital transformation, which implies that an organization integrates its digital technologies at all levels in order for it to change fundamentally how a particular business operates; through altering not just what one does but why they do those activities. Even in the e-business landscape, AI and ML have a long way to go. This chapter focuses on the protrusive consumer privacy and security anxieties in digital disruption era with AI and ML in the ethical and legal inferences of E-Business transformation.
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