Intermediatecourse · Free

AI Policy & Society

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

4Modules
9Rehberler
~6hTo complete

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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

Curriculum

Course modules

  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
    Yapay Zeka Etiği Yapay Zeka Önyargısı

  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
    Yapay Zeka ve Gizlilik Yapay Zeka Güvenliği Yapay Zeka Güvenliği

  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
    Yapay Zeka Düzenlemesi Yapay Zeka Yönetişimi

  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
    Yapay Zeka Mitleri Yapay Zekanın Geleceği

Applied capstone

Public-interest AI briefing

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

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