Intermediate course · Free

AI Policy & Society

Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.

For: Educators, nonprofit leaders, journalists, advocates, and public servants

Start module 1See the curriculum
Intermediate
  1. Ethics and impact2 guides
  2. Privacy, security, and safety3 guides
  3. Law and governance2 guides
  4. Public communication2 guides
  • 4Modules
  • 9Guides
  • ~6hTo complete
  • 10Competencies

Outcomes

What you will be able to do

  • Identify affected stakeholders and unequal impacts.
  • Compare governance tools and their enforcement limits.
  • Write evidence-grounded public-interest analysis.

Recommended first: AI Foundations

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Curriculum

Course modules

  1. Module 1

    Ethics and impact

    Outcome: Distinguish values, harms, tradeoffs, and measurable outcomes.

    Practice: Create a stakeholder and impact map for one AI deployment.

    Bias and fairnessPublic-interest impact analysis
  2. Module 2

    Privacy, security, and safety

    Outcome: Separate privacy, misuse, accident, and security risks.

    Practice: Build a threat-and-harm register with owners and mitigations.

    Privacy and data handlingAI security and misuse riskAutomation boundaries and safeguards
  3. Module 3

    Law and governance

    Outcome: Compare regulation, standards, audits, procurement, and internal controls.

    Practice: Compare two governance approaches against the same public problem.

    AI policy and regulationGovernance and accountability
  4. Module 4

    Public communication

    Outcome: Explain evidence and uncertainty without hype or false balance.

    Practice: Write a 300-word public briefing with sources, limits, and a decision point.

    Stakeholder communicationSource and claim verificationUncertainty and confidence calibration

Applied capstone

Public-interest AI briefing

Publish a sourced briefing on one current AI policy or social-impact question.

Evidence checklist

  • Stakeholder map
  • Primary evidence
  • Policy options
  • Uncertainty and recommendation
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