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所在平台: Udemy |
课程主页: https://www.udemy.com/course/enterprise-model-governance-risk-management/
课程评论：没有评论
课程名称：企业模型（AI）治理与风险管理 课程概述：模型治理与风险管理是模型开发生命周期中不可或缺的一部分。由于模型的预测性质，存在潜在的风险。如果模型的预测与实际情况有显著偏差，可能会对组织及其客户造成灾难性的后果。因此，在模型开发和使用过程周围建立明确的预防和查验机制变得至关重要。虽然组织在某种形式上都进行了模型风险管理，但整体原则和框架在过去十年中逐步形成。2011年4月，美国联邦储备委员会发布了关于模型风险管理的监督指导（SR 11-7）。随着机器学习和人工智能的最新进展，以及生成性人工智能（如GPT-4和DALL·E）的问世，各国政府和监管机构对加强现有规定或引入新规定表现出极大的兴趣。2023年5月17日，英国银行审慎监管局发布了SS 1/23模型风险管理原则，涵盖传统银行模型及机器学习和人工智能模型。本课程概述了模型治理与风险管理原则，并可作为在组织或客户中实施或增强模型治理和风险管理流程的高级指南。我们以英国银行的SS1/23模型风险管理原则为示例，尽管使用了这一监管示例，本课程讨论的实施框架是行业和地域不受限制的。 课程内容涵盖： - 企业与监管对模型治理和风险管理的需求 - 模型治理与风险管理的关键原则 - 治理 - 模型识别与模型风险分类 - 模型开发、实施与使用 - 独立模型验证 - 模型风险缓解 - 实施 - 团队结构 - 关键职能要求 - 企业解决方案的逻辑架构 - 企业解决方案的工具选择 现在就报名，深入理解企业模型治理与风险管理！
Model Governance and Risk Management is an integral part of Model Development Lifecycle. Due to predictive nature of models, there is an inherent risk associated with them. If the model predictions deviate significantly from real world scenarios, it could have catastrophic results for both an organization and its customers. In such a scenario, it becomes extremely important to have well defined, preventive and detective guardrails around model development and use. Organizations have done model risk management in one form or the other, but the overarching principles and framework has started shaping in the last decade. In April 2011, the US Board of Governors of the Federal Reserve System published the Supervisory Guidance on Model Risk Management (SR 11-7). With the recent advances in Machine Learning & Artificial Intelligence and the introduction of generative AI like GPT-4 and DALL·E, government and regulatory bodies around the world are showing tremendous interest in strengthening existing regulations or introducing new ones. On 17th May 2023, the Prudential Regulatory Authority of Bank of England published SS 1/23 Model Risk Management principles for banks in UK covering traditional banking models as well as Machine Learning and Artificial Intelligence models.This course gives an overview of Model Governance and Risk Management principles and can serve as a high level guide to implement or harden model governance and risk management processes for your organization or clients. We have taken the regulation SS1/23 Model Risk Management principles for Banks in UK as an example. Though we are using this regulatory example, the implementation framework discussed in this course is industry and geography agnostic.What is covered in this course?Enterprise & Regulatory need for Model Governance and Risk ManagementModel Governance & Risk Management: Key PrinciplesGovernanceModel Identification and Model Risk ClassificationModel Development, Implementation and UseIndependent Model ValidationModel Risk MitigationImplementationTeam StructureKey functional requirementsLogical architecture for Enterprise Solution Tool Selection for Enterprise SolutionEnroll now to develop a deeper understanding of Enterprise Model Governance and Risk Management!
