Detect and Mitigate Ethical Risks

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  • Ethical Risk Analysis Fundamentals
    • The first module in the course lays the groundwork for some concepts that are fundamental to data-driven technologies like artificial intelligence (AI). As an ethicist, you may not be putting these concepts into practice yourself, but you still need to understand them. That way, you'll be able to make more informed judgments and communicate with other people about how best to detect and mitigate ethical risks.
  • Manage Privacy Risks
    • This module begins a series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. First, you'll learn more about the risks to users' privacy and private data.
  • Manage Accountability Risks
    • This module continues the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Now, you'll tackle the risks to the organization's accountability.
  • Manage Transparency and Explainability Risks
    • This is the next module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Next up are the related concepts of transparency and explainability.
  • Manage Fairness and Non-Discrimination Risks
    • This is the penultimate module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Here, you'll focus on managing risks to fairness and non-discrimination (bias).
  • Manage Safety and Security Risks
    • This is the final module in the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Lastly, you'll address risks to both safety and security.
  • Apply What You've Learned
    • You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.

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