Establishing secure, ethical, and sustainable artificial intelligence frameworks in retail and manufacturing infrastructure

Authors

Shabrinath Motamary
Software/Systems Architect, Saturn Business systems inc, United States

Synopsis

Artificial Intelligence (AI) is rapidly emerging as a technology that will allow businesses to better engage with their customers and supply chain operations. AI-enabled technologies—machine learning, computer vision, robotics, deep learning, neural networks, natural language processing—will enable companies to gain a competitive edge in creating new products and services, along with competitive advantages in cost and time efficiencies. While AI is enabling transformation in every industry, its advances in the areas of big data, cloud computing, and storage will significantly enhance the capabilities of the retail and manufacturing sectors, as they manage highly complex infrastructures focused on consumers. While there are numerous opportunities AI implementations can unlock for the retail and manufacturing sectors, the latent risks remain, particularly those pertaining to customer privacy, discrimination, and workforce disruption. In this new predictive era, the interplay of technology, ethics, and values has emerged as a critical pathway to sustainable AI implementations. 

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Published

10 June 2025

How to Cite

Motamary, S. . (2025). Establishing secure, ethical, and sustainable artificial intelligence frameworks in retail and manufacturing infrastructure . In Intelligent Retail and Manufacturing Systems: Artificial Intelligence-Driven OSS/BSS Solutions and Infrastructure Innovations (pp. 231-247). Deep Science Publishing. https://doi.org/10.70593/978-93-49910-26-3_12