Understand in 3 minutes! A Guide to Key Points for Implementing Generative AI in Companies
A must-see for those in charge considering the introduction of generative AI in the manufacturing industry! This checklist explains the essential points for implementing generative AI.
The utilization of generative AI is rapidly advancing even in the manufacturing industry. However, there are numerous challenges that should be approached with caution, such as "information leakage risks," "insufficient legal and ethical frameworks," and "the personalization of operational know-how." This document succinctly summarizes the key points for safely and effectively introducing generative AI into companies in a checklist format. 【Systematic Check Across 5 Categories】 Policy and Strategy: Clarifying the purpose of introduction and aligning it with management strategy Legal and Risk Management: Measures against personal information, copyright, and ethical risks Information Security: Protection of confidential information and selection of secure connection methods Operational and Management Structure: Continuous operational rules and clarification of responsibilities Education and Promotion of Utilization: Company-wide skill enhancement and building a culture of sharing With a checklist of 30 items, it is possible to assess the current level of preparation for introduction in four stages. The content is widely applicable, from those introducing it for the first time to those responsible for promoting company-wide deployment. Based on the IPA and JDLA public guidelines, key points anticipated in practice have been carefully selected. In just three minutes, you can grasp the important points for introducing generative AI.
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