中This course explores the ethical implications of data analytics. It connects old ideas – privacy, surveillance, power, justice, accountability, corporate responsibility, stakeholder theory – with new technologies and cases, such as the use of machine learning to predict crime. The course will prepare you to evaluate strategic arguments about the ethics of data analytics and to relate data analytics to ethical concepts so that you approach newer, ambiguous capabilities of technology and artificial intelligence with a critical eye.
Ethics of Technology
您将学到什么
Examine the role and responsibilities of design and development in the ethics of data and analytics.
Analyze the ethical dimensions of data and analytics using conceptual tools and a moral vocabulary.
Categorize ethical issues associated with data analytics development and use.
Investigate the ethical dilemmas associated with data analytics.
您将获得的技能
- Information Privacy
- Law, Regulation, and Compliance
- Business Ethics
- Social Justice
- Responsible AI
- Data Ethics
- Case Studies
- Machine Learning
- Ethical Standards And Conduct
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Analytics
- Big Data
- Predictive Analytics
- Data Analysis
- Technology Strategies
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
16 项作业
授课语言：英语（English）
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
本课程是 Ethical Leadership 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 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4个模块
Welcome to Week 1 of the course! This week, you will participate in a variety of learning experiences so that you can begin framing your awareness of the biases inherent in technology. First, you will view a welcome video from your instructor. Then, your instructor will introduce you to this week’s topic. You will review two case studies, complete two practice quizzes, and view your instructor’s analyses of the two case studies. Finally, you will wrap up the week by completing one multiple-choice quiz and one reflective quiz so that you can apply the ethical theories you learn about this week to morally evaluate technology biases or preferences.
涵盖的内容
5个视频11篇阅读材料4个作业
Welcome to Week 2 of the course! This week, you will examine theories of privacy and surveillance. You will also be given an opportunity to reflect upon how the design of technology contributes to violations of privacy and surveillance.
涵盖的内容
4个视频6篇阅读材料4个作业
Welcome to Week 3 of the course! When an AI program decides if you are employable, can it discriminate? This week you will examine different theories of discrimination and fairness in data analytics, artificial intelligence, and machine learning. You will also review cases that depict how technology can discriminate so that you can consider how the technology design can impact and treat people differently.
涵盖的内容
4个视频6篇阅读材料4个作业
Welcome to Week 4 of the course! One of the primary purposes of technology design is to solve problems. So take a moment to consider a few global issues or problems that you would like to see (re)solved. Do other people share your interest in these issues? What role could technology play in solving these problems? How could the outcomes achieved by a technological intervention (to solve these problems) be accurately measured? This week, you will delve into the heart of these issues by examining how technology can make mistakes and how we can think of holding people accountable for technology.
涵盖的内容
5个视频6篇阅读材料4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
授课教师评分
4.6 (17个评价)
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学生评论
4.8
30 条评论
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- 4 stars
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3.33%
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KK
5
已于 Feb 13, 2025审阅
Very informative. I enjoyed this course a great deal and looking forward to the next Ethics course. Highly recommend too!
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.
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