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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-ai-governance/
课程评论：没有评论
课程名称：人工智能治理入门 课程概述：在您辛苦开发了一系列人工智能模型并准备部署之前，有许多重要的问题需要考虑。如何感知和解读一个表现不佳的人工智能系统？您是否为您的决策引擎提供了一个监测机制，以便在系统部署后能学习使用情况？您对良好系统的标准是什么？当人工智能系统表现不佳时，何时应通知管理层？您的系统是在24小时运行的环境中部署的，用户全天候使用。您有何机制来修复问题而不影响系统运行？您能否开发一个持续学习模块，使系统能够持续学习、调整模型，并为贡献专家提供足够的日志以监控学习过程？ 随着模型的学习，专家们可能会感到困惑，所学内容与原设计不符。在重塑模型时，如何调解不同意见，整合最佳实践？是否有生命周期管理工具可以用来监控您的人工智能模型，如同您为管理流程开发的监控工具一样？ 人工智能治理是一个不断发展的主题，目前相关资料不多。尽管如此，我们的IT和商业专业人士对数据和流程治理有基本了解，本课程将帮助他们将知识扩展到人工智能治理。课程内容将说明如何通过流程、技能和工具组合来解决上述问题。 本课程为希望在企业内参与人工智能项目的职场专业人士及项目管理团队设计。学习内容包括： - 如何确保基于人工智能的解决方案满足其预定目标？ - 如何为基于人工智能的解决方案设置控制和安全防护措施？ - 您的模型如何在保持价值、准确性和完整性的同时表现？ - 优秀的基于人工智能的解决方案是否能吸引并令用户惊叹？ - 可用于应对治理挑战的技能和工具有哪些？ 此课程将为参与人工智能治理的专业人士提供宝贵的知识和技能。
You worked hard to develop a collection of AI models and now you are ready to deploy them. Before you rush to deploy your application, let me ask you important questions.How do we sense and interpret a poorly working AI system? Presumably, you have developed a high-quality decision-making engine. Have you provided a mechanism to instrument your AI system as system gets deployed and learns from its use? What is your criteria for a good system and when do you alert your management if the AI system starts performing poorly.Your AI system is deployed in a 24X7 environment where users are using it round the clock. What is your mechanism to fix the problems without tearing down the system. Can you develop a continuous learning module of your system which constantly learns from use, adjusts the model and provides sufficient logs to your contributing experts to monitor its learning.The model starts to learn and now your experts are baffled. The learning is exactly not what they designed in the original system and now as they redesign their model, they have differences in opinion. How do you reconcile these differences and bring the best of your corporation.Is there a tool or a system for life cycle management and can you employ that tool to monitor your AI models like the way you developed process monitoring tools for your governed processes.You may have many more questions. AI Governance is an evolving topic and not much material is available on this side.However, most of our IT and Business professionals understand Data and Process governance. This course will help them extend their knowledge to include AI governance. This course will provide you an overview of how above questions can be addressed by a combination of process, skills and tools.This course has been developed for working business professionals and project executives / management teams involved in interested in getting involved in AI engagements for their enterprisesIn this course, you will learnDoes an AI based solution meets its stated objectives?How to put control and guard-rails for an AI based solutionHow does your model perform while retaining its value accuracy and integrity?Does a good AI-based solution engages and "Wows" the users?What skills and tools are available to address some of the governance challenges?
