
生成式AI合规实施指南:数据安全、偏见缓解与微软工具策略
This article outlines the compliance requirements for implementing generative AI in organizations, focusing on data security, bias mitigation, and regulatory adherence. It highlights Microsoft's AI tools and strategies for minimizing risks while maximizing benefits, including privacy protection, performance evaluation, and the use of techniques like Retrieval-Augmented Generation (RAG) to ensure accuracy and reliability. (本文概述了在组织中实施生成式AI的合规性要求,重点关注数据安全、偏见缓解和法规遵从。文章强调了微软的AI工具和策略,旨在最小化风险并最大化收益,包括隐私保护、性能评估以及使用检索增强生成(RAG)等技术来确保准确性和可靠性。)
AI大模型2026/1/24
阅读全文 →






