企业部署大模型助手面临伦理与监管挑战，本文分享实战经验。
TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise
- 基于大模型构建企业AI助手，探索落地路径。
- 发现伦理、合规与人机协作是核心难点。
- 适合关注AI落地的企业技术决策者阅读。
越来越多企业采用人工智能提升内部效率。为应对公众关切和新出台的AI伦理与责任监管要求，建立AI治理框架有助于将AI融入组织并降低风险。然而，技术快速迭代与缺乏统一的伦理AI基础设施，阻碍了企业在实践中采纳。本文以TVS供应链解决方案公司的真实应用为例，报告了基于大语言模型开发AI助手的实践过程，揭示了在企业环境中部署时面临的伦理、监管及社会技术性挑战。
原文摘要 · Abstract (English)
Many enterprises are increasingly adopting Artificial Intelligence (AI) to make internal processes more competitive and efficient. In response to public concern and new regulations for the ethical and responsible use of AI, implementing AI governance frameworks could help to integrate AI within organisations and mitigate associated risks. However, the rapid technological advances and lack of shared ethical AI infrastructures creates barriers to their practical adoption in businesses. This paper presents a real-world AI application at TVS Supply Chain Solutions, reporting on the experience developing an AI assistant underpinned by large language models and the ethical, regulatory, and sociotechnical challenges in deployment for enterprise use.
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