Ethical Governance & Risk in Agentic AI is an intermediate-level course designed for professionals who need to navigate the complex landscape of autonomous AI systems while ensuring ethical compliance and responsible deployment. As AI systems become increasingly autonomous, traditional governance approaches break down, creating new categories of risk and accountability challenges. This course equips learners with practical frameworks to assess AI autonomy levels, design adaptive compliance strategies, and build scalable governance structures. Through real-world case studies from IBM, UC Berkeley, and Harvard Business Review, learners explore both the opportunities and risks of agentic AI systems. The course emphasizes practical implementation, providing tools and templates that can be immediately applied in organizational settings. By the end, learners will be able to build comprehensive governance frameworks that balance innovation with responsibility, ensuring AI systems serve human values while driving competitive advantage.
Ethical Governance & Risk in Agentic AI
您将获得的技能
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
In this foundational lesson, learners will explore the evolution of AI autonomy and examine how autonomous agents make decisions. They'll analyze the ethical implications of AI decision-making, understand the spectrum of agent autonomy, and evaluate real-world cases where AI autonomy has created both opportunities and challenges. Through IBM's perspective on agentic AI risks and UC Berkeley's analysis, learners will develop a framework for assessing agent autonomy levels.
涵盖的内容
4个视频2篇阅读材料1个作业
This lesson guides learners through the process of creating comprehensive compliance strategies that ensure AI systems align with ethical standards and regulatory requirements. Learners will explore current regulatory frameworks, design compliance strategies that balance innovation with responsibility, and examine how leading organizations navigate complex regulatory landscapes. They'll develop skills to create frameworks that ensure responsible AI deployment while maintaining competitive advantage. All of this Through practical exercises and real-world case studies,
涵盖的内容
3个视频1篇阅读材料1个作业
In this culminating lesson, learners will develop comprehensive skills for evaluating AI risks and implementing robust governance frameworks. They'll learn to assess both technical and ethical risks in AI systems, design governance structures that can evolve with changing technologies and regulations, and create accountability mechanisms that ensure responsible AI deployment. Through hands-on activities and real-world case studies, learners will build practical frameworks they can immediately apply in their organizations.
涵盖的内容
4个视频1篇阅读材料3个作业
位教师
提供方
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
Jennifer J.
Larry W.
Chaitanya A.
从 Data Science 浏览更多内容
Coursera
Saïd Business School, University of Oxford
Northeastern University
¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。