Intro to Data & AI Ethics

Explore complex, thought-provoking ethical issues in the age of AI, and the importance of responsible data stewardship

Created by: Maven Analytics
Empowering everyday people with life-changing data skills

Created by: Chris Bruehl
Lead Python Instructor at Maven Analytics

What Will I 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

Requirements

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

Target audience

• 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