Developing an AI/ML Data Strategy: Data Analytics & Data Ethics

Data analytics 2022    |    Intermediate
  • 8 videos | 38m 11s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 155 users Rating 4.6 of 155 users (155)
Growing fields of data analytics and artificial intelligence (AI) provide many benefits to individuals and society, but also raise ethical concerns regarding privacy, transparency, and bias. How can organizations collect, store, and use data ethically, and what ethical safeguards must be maintained? Through this course, learn about data ethics and its importance in AI. Explore the concept of data ethics and a manager's role and responsibility to maintain ethical standards on their team. Next, discover the key principles and considerations for data ethics in AI. Finally, learn about data ethics frameworks that are used across a variety of industries. After course completion, you'll be able to identify the importance of data ethics and its concerns and best practices.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Identify what data ethics is, why it is important, and when it should be considered
    Outline what managers should consider when adopting artificial intelligence (ai)/machine learning (ml)
    Identify how bias is created, its types, and strategies to recognize and avoid data bias
  • List the key principles of data ethics
    Name the main ethical considerations for artificial intelligence (ai)
    Recognize examples and takeaways of data ethics frameworks across different industries
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 25s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 8m 49s
    In this video, you will identify what data ethics is, why it is important, and when it should be considered. FREE ACCESS
  • Locked
    3.  Considerations for Adopting AI/ML
    5m 14s
    Upon completion of this video, you will be able to outline what managers should consider when adopting artificial intelligence (AI)/machine learning (ML) . FREE ACCESS
  • Locked
    4.  Data Bias Creation, Types, and Reduction
    4m 33s
    During this video, you will identify how bias is created, its types, and strategies to recognize and avoid data bias. FREE ACCESS
  • Locked
    5.  Key Principles of Data Ethics
    5m 3s
    Upon completion of this video, you will be able to list the key principles of data ethics. FREE ACCESS
  • Locked
    6.  Artificial Intelligence (AI) and Data Ethics
    5m 31s
    After completing this video, you will be able to name the main ethical considerations for artificial intelligence (AI). FREE ACCESS
  • Locked
    7.  Data Ethics Examples
    6m 21s
    Upon completion of this video, you will be able to recognize examples and takeaways of data ethics frameworks across different industries. FREE ACCESS
  • Locked
    8.  Course Summary
    1m 18s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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