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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-nist-ai-risk-management-framework-ai-rmf/
课程评论：没有评论
课程名称：NIST人工智能风险管理框架（AI RMF） 概述：NIST人工智能风险管理框架（AI RMF）课程旨在为专业人士提供应对人工智能风险管理复杂性的知识和工具。该课程深入探讨NIST AI RMF，帮助学员全面理解其原则、功能及实际应用。学生将学习MAP、MEASURE和MANAGE功能，掌握如何在人工智能生命周期中识别、评估和减轻AI风险。课程还强调AI系统可信度的重要性，涵盖有效性、可靠性、安全性、防御能力、问责制、透明度、可解释性、可理解性、隐私增强和公平性等关键特征。 课程倡导采用整体的方法进行AI风险管理，将这些特征整合以开发稳健且值得信赖的AI解决方案。通过真实案例和实例，包括HealthAI，学生将看到AI RMF在不同背景下的实际应用。此外，课程还强调持续监测和改进的重要性，确保AI系统在发展过程中与组织目标和社会价值保持一致。 本课程特别适合参与AI系统开发、部署或监督的AI从业者、风险管理者、数据科学家和组织领导者。课程不要求具备NIST AI RMF的先前经验，适合初学者并为经验丰富的专业人士提供了宝贵的资源。加入我们，掌握AI风险管理的艺术，确保安全、可靠和伦理的AI系统的开发。
The "NIST AI Risk Management Framework (AI RMF)" course is designed to equip professionals with the knowledge and tools needed to navigate the complexities of AI risk management effectively. This course delves into the NIST AI RMF, providing a thorough understanding of its principles, functions, and practical applications. Students will explore the MAP, MEASURE, and MANAGE functions, learning how to identify, assess, and mitigate AI risks throughout the AI lifecycle.Participants will gain insights into the importance of trustworthiness in AI systems, covering key characteristics such as validity, reliability, safety, security, resilience, accountability, transparency, explainability, interpretability, privacy enhancement, and fairness. The course emphasizes the need for a holistic approach to AI risk management, integrating these characteristics to develop robust and trustworthy AI solutions.Through real-world examples and case studies, including HealthAI, students will see the practical application of the AI RMF in various contexts. The course also covers the importance of continual monitoring and improvement, ensuring that AI systems remain aligned with organizational goals and societal values as they evolve.This course is ideal for AI practitioners, risk managers, data scientists, and organizational leaders who are involved in the development, deployment, or oversight of AI systems. No prior experience with the NIST AI RMF is required, making it accessible to beginners and valuable to seasoned professionals alike. Join us to master the art of AI risk management and ensure the development of safe, reliable, and ethical AI systems.
