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Intro to Data & AI Ethics
Rating: 4.5 out of 5(679 ratings)
2,568 students

Intro to Data & AI Ethics

Explore complex, thought-provoking ethical issues in the age of AI, and the importance of responsible data stewardship
Last updated 6/2026
English

What you'll learn

  • Review the fundamental concepts of ethics, and discuss how data ethics differs from legal frameworks regulating data
  • Understand how to be an effective steward of data, and review the ethical implications of collecting and managing sensitive data
  • Learn how to detect and mitigate common forms of bias, including sampling, selection, algorithmic and confirmation bias
  • Dive into the world of AI and explore unique ethical challenges in terms of data collection, bias, and societal harm

Course content

6 sections46 lectures1h 32m total length
  • Course Introduction1:29
  • Course Structure & Outline0:43
  • READ ME: Important Notes for New Students2:18
  • DOWNLOAD: Course Resources0:08
  • Setting Expectations0:51

Requirements

  • This is an entry-level course (no prerequisites)
  • Some experience working with data is helpful, but not required

Description

Data and AI Ethics are topics that most data leaders and professionals don’t learn in school, or on the job.


But as the volume of data grows and the impact of ML & AI algorithms continues to increase, understanding the ethical implications of our work – and how to prevent & mitigate ethical lapses – is more important than ever.


We’ll start this course by defining AI and Data ethics before moving on to what it means to be an ethical steward of data.


From there, we’ll dive into the types of bias that can be present in your data and how it can propagate into analyses and algorithms in a way that can not only raise ethical questions, but also negatively impact your company’s bottom line.


Next, we’ll dive into the world of modern AI models, and the unique risks and ethical concerns posed by powerful generative AI tools.


We’ll use case studies to highlight real-life controversies, discuss how to mitigate the risk of ethical lapses, and use thought exercises to help you develop the skills to anticipate, identify, and mitigate the risk of ethical lapses in your day-to-day work.


COURSE OUTLINE:


  • Data Ethics 101

    • Introduce the fundamental concepts of ethics, and discuss how data ethics differs from legal frameworks regulating data


  • Ethical Data Stewardship

    • Understand how to be an effective steward of data, and review the ethical implications of collecting and managing sensitive data


  • Data & Algorithmic Bias

    • Learn how to detect and mitigate common forms of bias, including sampling, selection, algorithmic and confirmation bias


  • AI Ethics & Impact

    • Dive into the world of AI and explore unique ethical challenges in terms of data collection, bias, and societal harm


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Ready to dive in? Join today and get immediate, LIFETIME access to the following:


  • 1.5 hours of high-quality video

  • 6 real-world case studies

  • 9 thought exercises

  • 4 course quizzes

  • Data & AI Ethics ebook (50+ pages)

  • Expert support and Q&A forum

  • 30-day Udemy satisfaction guarantee


If you’re looking for a unique and highly engaging way to learn about data and AI ethics, this course is for you.


Happy learning!

-Chris Bruehl (Data Science Expert & Lead Python Instructor, Maven Analytics)


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Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses!


See why our courses are among the TOP-RATED on Udemy:


"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C.


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"Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M.

Who this course is for:

  • Data leaders looking to build a deeper understanding of the ethical concerns prevalent in modern data products and projects
  • Individual contributors who want to learn more about how they can identify and mitigate potential ethical issues in their day-to-day work
  • Anyone looking for a thought-provoking and highly engaging course on ethics in the age of AI