"Design Ethical AI Rewards and Policies" is an engaging course for professionals, data scientists, AI practitioners, and decision-makers seeking to implement responsible AI practices in their organizations. In an era where AI systems significantly impact business operations, understanding how to balance performance metrics with ethical considerations is crucial. This course provides a comprehensive foundation in the principles of reinforcement learning, focusing on creating effective reward functions that align with business goals while ensuring compliance with ethical standards. Through hands-on labs, interactive dialogues, and real-world case studies, you will learn to identify and mitigate biases in AI policies, including adherence to global regulatory frameworks like GDPR. By integrating theory with practical application, this program equips you with the skills to lead initiatives that prioritize fairness and accountability in AI development. Whether your goal is to enhance customer interactions or ensure ethical governance, this course lays the groundwork for building trustworthy AI systems that deliver value without compromising integrity.
以 199 美元（原价 399 美元）购买一年 Coursera Plus，享受无限增长。立即节省
Design Ethical AI Rewards and Policies
本课程是 Agentic AI Development & Security 专项课程 的一部分
位教师：LearningMate
包含在 中
您将学到什么
Learners will apply reinforcement learning to design and validate reward functions while analyzing ethical and societal implications of AI decisions.
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
积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
This module provides an in-depth understanding of the principles of reinforcement learning to design and tune effective AI agent incentives. You will learn how to create reward functions that balance competing business goals, such as maximizing customer satisfaction while minimizing operational costs. Through hands-on off-platform practice, you will implement and validate reward weighting schemes for a customer-support chatbot, directly applying the skills needed to align agent behavior with desired outcomes.
涵盖的内容
3个视频1篇阅读材料1个作业1个非评分实验室
This module focuses on the critical skills of risk analysis and due diligence for AI systems. You will learn to analyze an agent's decision policy for ethical, legal, and societal implications, with a focus on identifying and mitigating bias. Using standard documentation practices, you will conduct a bias audit, cite relevant legal considerations like the General Data Protection Regulation (GDPR), and document your findings and mitigation steps in a formal accountability matrix.
涵盖的内容
3个视频1篇阅读材料2个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师
提供方
从 Design and Product 浏览更多内容
状态：免费试用
状态：预览Johns Hopkins University
状态：免费试用Fractal Analytics
状态：预览
人们为什么选择 Coursera 来帮助自己实现职业发展
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，
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。