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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/human-factors-in-artificial-intelligence
课程评论：没有评论
课程名称：人工智能中的人因因素 概述：该课程是杜克大学普拉特工程学院的人工智能产品管理专项课程的第三部分，也是最后一部分，重点关注开发基于人工智能的产品时的关键人因因素。课程首先介绍以人为本的设计及AI产品用户体验设计的独特要素。参与者将学习数据隐私在AI系统中的作用、设计伦理AI的挑战，以及识别偏见来源与缓解公平性问题的方法。课程最后将比较人类智能与人工智能，并讨论AI如何在自动化和辅助人类决策方面的应用。 完成本课程后，您应该能够： 1) 识别和减轻AI项目中的隐私和伦理风险 2) 应用以人为本的设计实践来设计成功的AI产品体验 3) 构建增强人类智能的AI系统，并激发用户对模型的信任 课程大纲： - 模块名称：AI产品体验的设计 描述：在本模块中，我们将讨论执行以人为本设计的方法和工具，这对设计成功的AI产品至关重要。我们将逐步探讨AI产品用户体验设计中涉及的主要挑战及其解决方法。 - 模块名称：数据隐私与AI 描述：本模块将重点关注数据隐私与AI产品的关系。我们将首先介绍确保用户隐私的最佳实践及需了解的相关美国及国际隐私法律。接下来，将讨论AI在确保隐私时面临的独特挑战以及可以保护用户数据隐私的方法和工具。 - 模块名称：AI中的伦理 描述：本模块将讨论伦理AI的三个主要目标：公平性、问责制和透明度。我们将识别建模项目中常见的偏见来源，并讨论检测和缓解偏见的方法，包括组织、流程和技术等方面的内容。 - 模块名称：人类与社会考虑因素 描述：本模块将首先区分人类智能与人工智能，然后研究它们之间如何相辅相成。课程的最后将学习鼓励用户采纳并激发用户对您的模型的信任的方法。
Name:Design of AI Product Experiences
Description:In this module we will discuss approaches and tools to perform human-centered design, which is critical to designing successful AI products. We will then walk through the key challenges involved in the user experience design of AI products and how to resolve them.
Name:Data Privacy and AI
Description:In this module we will focus on data privacy as it relates to AI products. We will first cover best practices in ensuring user privacy and the relevant U.S. and international privacy laws to be aware of. We will then discuss how AI creates unique challenges in ensuring privacy and some of the methods and tools which can be employed to protect the privacy of user data.
Name:Ethics in AI
Description:In this module we will discuss the three main goals of ethical AI: fairness, accountability and transparency. We will identify common sources of bias in modeling projects and discuss approaches to detecting and mitigating bias, including organizational, process, and technical components.
Name:Human and Societal Considerations
Description:In this module we will begin with differentiating between human intelligence and artificial intelligence, and then examine ways that they can compliment each other. We will conclude the course by learning about approaches to encourage adoption and inspire trust among users in your model.
This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products. The course begins with an introduction to human-centered design and the unique elements of user experience design for AI products. Participants will then learn about the role of data privacy in AI systems, the challenges of designing ethical AI, and approaches to identify sources of bias and mitigate fairness issues. The course concludes with a comparison of human intelligence and artificial intelligence, and a discussion of the ways that AI can be used to both automate as well as assist human decision-making. At the conclusion of this course, you should be able to: 1) Identify and mitigate privacy and ethical risks in AI projects 2) Apply human-centered design practices to design successful AI product experiences 3) Build AI systems that augment human intelligence and inspire model trust in users
