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
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.
COURSEOUTLINE:
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
AIEthics & 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 todayand get immediate, LIFETIME accessto the following:
1.5 hours of high-quality video
6 real-world case studies
9 thought exercises
4 course quizzes
Data & AIEthics ebook (50+pages)
Expert support and Q&Aforum
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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