IMPLEMENTING RESPONSIBLE AI IN SALESFORCE: A TECHNICAL DEEP DIVE
DOI:
https://doi.org/10.34218/IJCET_16_01_198Keywords:
AI Security Framework, Ethical Machine Learning, Enterprise AI Implementation, Model Governance, Responsible AIAbstract
This comprehensive technical article examines Salesforce's framework for responsible AI implementation, focusing on the architectural components, development methodologies, and best practices that enable organizations to deploy ethical AI solutions. The article explores the Einstein AI Trust Layer's role in ensuring data security and privacy, discusses advanced bias detection and mitigation strategies, and analyzes the implementation of explainable AI mechanisms. Through an examination of integration patterns, security protocols, and monitoring systems, the article demonstrates how organizations can achieve a balance between innovation and ethical responsibility while maintaining regulatory compliance across diverse industry sectors.
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Copyright (c) 2025 Aditya Pothukuchi (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
