"Challenges of Encrypted AI in E-Commerce and Retail"

Abstract

In recent years, the integration of Artificial Intelligence (AI) into e-commerce and retail sectors has revolutionized customer experiences, operational efficiencies, and business strategies. However, as AI technologies advance, so do the concerns surrounding data security and privacy, particularly in the context of encrypted AI. This abstract explores the challenges posed by encrypted AI in e-commerce and retail environments. Encrypted AI techniques, while promising in safeguarding sensitive consumer information, present significant hurdles such as computational complexity, performance degradation, and interoperability issues. Addressing these challenges requires innovative approaches in algorithm design, computational infrastructure, and regulatory frameworks to ensure both the security of personal data and the efficacy of AI-driven applications in enhancing customer trust and business competitiveness. This abstract concludes by highlighting the urgent need for collaborative efforts among researchers, industry stakeholders, and policymakers to navigate the intricate landscape of encrypted AI in e-commerce and retail, ultimately fostering a secure and trustworthy digital marketplace.