AI Policy & Society

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 Literacy Foundations

Course modules

1. 1. Ethics and impact

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

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

   Competencies: Bias and fairness · Public-interest impact analysis

   ai ethics →ai bias →

2. 2. Privacy, security, and safety

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

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

   Competencies: Privacy and data handling · AI security and misuse risk · Automation boundaries and safeguards

   ai privacy →ai security →ai safety →

3. 3. Law and governance

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

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

   Competencies: AI policy and regulation · Governance and accountability

   ai regulation →ai governance →

4. 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.

   Competencies: Stakeholder communication · Source and claim verification · Uncertainty and confidence calibration

   ai myths →ai future →