Building Trustworthy AI in Salesforce: An Ethical and Governance Framework
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I2P110Keywords:
Trustworthy AI, Ethical AI, AI Governance, Responsible AI, Salesforce AI, AI Ethics Framework, AI Transparency, AI Accountability, Data Privacy in AI, Fairness in AIAbstract
Artificial Intelligence (AI) in enterprise platforms such as Salesforce absolutely requires trustworthy AI because customer experiences, sales strategies, and business intelligence may be directly affected by decisions made by machine learning models. Ethical, transparent, and fair AI implementation is necessary, as the use of AI in Salesforce clouds, namely Sales Cloud and Service Cloud, has been rapidly integrated. The present paper suggests the holistic model of governance and ethical AI systems in Salesforce. It also explores the ethical nature and extent of issues of ethical concern, namely algorithmic bias, model opacity, data privacy, and accountability as applicable to Salesforce AI tools e.g., Einstein GPT. This framework focuses on three pillars fairness (bias mitigation and inclusive training data), transparency (explainable AI and auditability) and responsible deployment (policies governance, human-in-the-loop systems, and legal compliance). The methodology will consist of a literature survey focusing on AI ethics and evaluation of the current AI policies by Salesforce as well as the conceptual model of enterprise AI platforms. Finance, healthcare, and retail documents on case studies provide an example of using the framework in practice. The research is completed with practical suggestions and indicators to gauge credibility in the use of Salesforce AI
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