Ethics in Generative AI

Ethics in Generative AI
Ethics in Generative AI

Course Description

Build practical literacy in the ethical use of generative AI, from detecting deepfakes to deploying responsible guardrails. This concise micro-course helps organisations reduce risk, protect brand trust, and align AI adoption with legal and societal expectations.

Who Should Take This Course

Ideal for managers, team leads, HR and compliance professionals, comms/marketing teams, product owners, and any staff using or evaluating AI tools at work. Also suitable for consultants and technical stakeholders who need a common ethical framework for cross-functional collaboration.

Prerequisites

No prior experience needed.

What You Will Learn

  • How to recognise deepfakes and voice cloning risks and apply verification practices for content authenticity
  • Foundations of ownership, attribution, and copyright when using AI-generated and AI-assisted content
  • What model “guardrails” are—policies, prompts, filters—and how to apply them in workplace workflows
  • Approaches to content moderation, escalation, and incident response for AI outputs
  • Ways to assess societal impact, bias, and misinformation risks to support responsible deployment
  • Practical steps to align everyday AI use with your organisation’s ethics and compliance standards

Course Content

AIW-0210-GVE-02: Ethics in Generative AI
AIW-0210-GVE-03: Deepfakes, Voice Cloning, and Content Authenticity
AIW-0210-GVE-04: Ownership, Attribution, and Copyright
AIW-0210-GVE-05: Guardrails for LLMs and Foundation Models
AIW-0210-GVE-06: Content Moderation and Societal Impact
AIW-0210-GVE-07: Conclusion
Includes
7 Lessons
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