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AINS6005 AI Ethics, Law & Policy

  • AINS6005: AI Ethics, Law & Policy
  • Syllabus: AINS6005 AI Ethics, Law & Policy
  • How to Use AINS6005
  • Technical Requirements and Setup
  • Authoritative Readings and Resources
  • Module 1: Ethical theories for AI decisions
    • Module 1 Book Prose
    • Module 1: Ethical theories for AI decisions
    • Module 1 Narrated Study Guide
    • Module 1 Rubric
  • Module 2: Bias, fairness, and representational harm
    • Module 2 Book Prose
    • Module 2: Bias, fairness, and representational harm
    • Module 2 Narrated Study Guide
    • Module 2 Rubric
  • Module 3: Privacy, consent, and data rights
    • Module 3 Book Prose
    • Module 3: Privacy, consent, and data rights
    • Module 3 Narrated Study Guide
    • Module 3 Rubric
  • Module 4: Transparency, explainability, and accountability
    • Module 4 Book Prose
    • Module 4: Transparency, explainability, and accountability
    • Module 4 Narrated Study Guide
    • Module 4 Rubric
  • Module 5: AI law and emerging regulation
    • Module 5 Book Prose
    • Module 5: AI law and emerging regulation
    • Module 5 Narrated Study Guide
    • Module 5 Rubric
  • Module 6: Governance programs and controls
    • Module 6 Book Prose
    • Module 6: Governance programs and controls
    • Module 6 Narrated Study Guide
    • Module 6 Rubric
  • Module 7: Incident response and redress
    • Module 7 Book Prose
    • Module 7: Incident response and redress
    • Module 7 Narrated Study Guide
    • Module 7 Rubric
  • Module 8: Responsible AI policy portfolio
    • Module 8 Book Prose
    • Module 8: Responsible AI policy portfolio
    • Module 8 Narrated Study Guide
    • Module 8 Rubric
  • .md

Module 3: Privacy, consent, and data rights

Contents

  • Theme
  • Essential Question
  • Module Components
  • Module Artifact
  • Professional Setting
  • Use This Module in Order

Module 3: Privacy, consent, and data rights#

Theme#

Privacy, consent, and data rights

Essential Question#

What permissions are required to use data responsibly?

Module Components#

  • Book prose: conceptual framing, domain scenario, methods, and failure modes

  • Assignment: evidence-backed production of a specific artifact

  • Slides: presentation sequence for seminar or lecture delivery

  • Narration: spoken version of the slide flow

  • Rubric: criteria for evaluating the module artifact

  • Notebook: executable lab aligned with the module theme using synthetic governance case facts including affected groups, data rights, transparency controls, and harm scenarios

Module Artifact#

responsible AI review memo with risk register, policy analysis, and redress plan focused on privacy, consent, and data rights: Draft a data-use review for a proposed AI workflow.

Professional Setting#

Students work as if advising an AI governance board reviewing a proposed high-impact AI deployment. Their work must be intelligible to governance chair, legal counsel, affected-user advocate, product owner, and compliance officer.

Use This Module in Order#

  1. Read the learning chapter.

  2. Review the slide deck with the matching narration.

  3. In Populi, open the private student-repository link for this course and enter modules/module-3.

  4. Clone the repository once or open its Codespace/Colab copy; run lab.ipynb and complete exercise.ipynb there.

  5. Self-check with the rubric, commit and push the work, then submit exactly what Populi requests.

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Module 2 Rubric

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Module 3 Book Prose

Contents
  • Theme
  • Essential Question
  • Module Components
  • Module Artifact
  • Professional Setting
  • Use This Module in Order

By Castalia Institute

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