Year: 2024
Type: article
Abstract: This comprehensive technical article presents an in-depth framework for implementing ethical AI and data privacy measures within Salesforce environments, addressing the critical challenges faced by organizations in balancing innovation with responsibility.This article examines fundamental aspects of ethical AI deployment, including bias prevention methodologies, privacy-preserving machine learning techniques, and regulatory compliance mechanisms across global privacy standards.Through detailed analysis, it explores the implementation of robust technical measures, including advanced data masking, encryption protocols, and role-based access control systems, alongside comprehensive guidelines for continuous AI model auditing and bias detection.The article provides practical insights into establishing effective monitoring systems and incident response procedures, emphasizing the importance of maintaining Sruthi Potru
Author: Sruthi Potru
Institution: Novartis (United States)
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4405764038