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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/detect-mitigate-ethical-risks
课程评论：没有评论
课程名称：检测和减轻伦理风险 课程概述：数据驱动的技术（如人工智能）在设计时考虑伦理原则，不仅能使企业受益，还能促进社会发展。然而，仅仅保持“伦理”的口号并不足以实现目标。我们需要工具和技术来评估伦理行为中的差距，并识别和阻止对伦理目标的威胁。此外，我们还需了解如何在开发生命周期中改进伦理流程，即需要有效管理伦理风险。此课程是认证伦理新兴技术人员（CEET）专业证书的第三门课程，旨在帮助学习者识别和减轻在数据驱动技术设计、开发和部署中的伦理风险。学生将学习伦理风险分析的基础知识、风险来源，以及如何管理不同类型的风险。课程中学习者将掌握识别和减轻风险的策略。 课程大纲： 1. 伦理风险分析基础 - 该模块为数据驱动技术（如人工智能）的基本概念奠定基础，帮助学习者做出更明智的判断并与他人有效沟通。 2. 管理隐私风险 - 该模块将介绍用户隐私和私人数据的相关风险，并探讨如何管理这些风险。 3. 管理问责风险 - 本模块将继续探讨数据驱动技术中的伦理风险，聚焦于组织的问责性风险。 4. 管理透明性和可解释性风险 - 该模块讨论透明性和可解释性相关的伦理风险，强调其在数据驱动技术中的重要性。 5. 管理公平性和非歧视风险 - 本模块关注管理公平性和非歧视（偏见）相关的伦理风险。 6. 管理安全和保密风险 - 该模块将解决与安全和保密相关的伦理风险，确保技术的安全使用。 7. 应用所学知识 - 学习者将在此模块中进行一项或多项项目，运用课程所学解决实际场景中的伦理风险问题。 该课程为希望在数据驱动技术领域检测与减轻伦理风险的学习者提供了全面的知识体系和实际应用的能力，帮助其在未来的职业发展中促进伦理决策。
Name:Ethical Risk Analysis Fundamentals
Description:The first module in the course lays the groundwork for some concepts that are fundamental to data-driven technologies like artificial intelligence (AI). As an ethicist, you may not be putting these concepts into practice yourself, but you still need to understand them. That way, you'll be able to make more informed judgments and communicate with other people about how best to detect and mitigate ethical risks.
Name:Manage Privacy Risks
Description:This module begins a series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. First, you'll learn more about the risks to users' privacy and private data.
Name:Manage Accountability Risks
Description:This module continues the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Now, you'll tackle the risks to the organization's accountability.
Name:Manage Transparency and Explainability Risks
Description:This is the next module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Next up are the related concepts of transparency and explainability.
Name:Manage Fairness and Non-Discrimination Risks
Description:This is the penultimate module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Here, you'll focus on managing risks to fairness and non-discrimination (bias).
Name:Manage Safety and Security Risks
Description:This is the final module in the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Lastly, you'll address risks to both safety and security.
Name:Apply What You've Learned
Description:You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.
Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threats to our ethical goals. We also need to know where and how to improve our ethical processes across development lifecycles. What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Throughout the course, learners will learn strategies for identifying and mitigating risks. This course is the third of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding courses are titled Promote the Ethical Use of Data-Driven Technologies and Turn Ethical Frameworks into Actionable Steps.
