Navigating Generative AI Risks for Leaders

This Coursera course focuses on the ethical, data and legal dimensions of generative AI. Its single-module outline provides a targeted leadership orientation rather than technical model development. Learners can use it to frame questions that need review before an organization expands its AI use.

What you will learn

• Identify ethical concerns in a generative-AI use case.
• Assess data-related risks in an organizational workflow.
• Recognize issues that require specialist legal review.

Who this suits

Beginner-level learners; detailed prerequisites are not stated in the published course facts.

Before you enroll

Preview the jurisdiction and date of any legal examples. The course supplies educational risk concepts, and organization-specific legal questions still need qualified review.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Create a risk register for one fictional internal AI tool. Separate an operational mitigation from a question that needs specialist advice.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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