AI Policy Labs: Regulation in Practice

• Chapter 1.1: Why Regulate AI? Risks, Public Interest, and Policy Gaps

• Chapter 1.2: Core Concepts – Risk-Based Regulation, Accountability, Transparency

• Chapter 1.3: Categories of AI Use Cases and Risk Levels

• Chapter 1.4: Legal vs. Ethical Instruments in AI Governance

• Chapter 2.1: The EU AI Act – Provisions, Risk Tiers, and Obligations

• Chapter 2.2: U.S. AI Strategy – Executive Orders, NIST AI RMF, FTC Guidance

• Chapter 2.3: Global Landscape – Canada’s AIDA, Brazil, Singapore, OECD, UNESCO

• Chapter 2.4: Comparing Regulatory Approaches: Risk, Rights, and Enforcement Models

• Chapter 3.1: AI System Classification and Use Case Mapping

• Chapter 3.2: Compliance Requirements for High-Risk Systems (per EU AI Act)

• Chapter 3.3: Roles and Accountability: DPOs, Risk Officers, and AI Governance Leads

• Chapter 3.4: Documentation, Logging, and Risk Management Systems

• Chapter 4.1: Impact Assessments (AI, Human Rights, Algorithmic, Environmental)

• Chapter 4.2: Conformity Assessments and Post-Market Monitoring

• Chapter 4.3: Supplier and Third-Party Due Diligence

• Chapter 4.4: Interfacing with Regulators and Auditors

• Chapter 5.1: Lab Setup – Regulatory Role Play (Company, Regulator, Public)

• Chapter 5.2: Enforcing the EU AI Act – Mock Review and Assessment

• Chapter 5.3: U.S. Risk Management Strategy Simulation

• Chapter 5.4: Responding to Violations: Drafting Remediation Plans

• Chapter 6.1: Sandbox Models and Experimental Regulation

• Chapter 6.2: Public Engagement and Participatory Governance

• Chapter 6.3: Building Regulatory Foresight into AI Strategy

• Chapter 6.4: Capstone – Draft a Regulatory Compliance Plan or Policy Proposal

Video content aligned with weekly modules

Understanding the Global AI Regulatory Landscape

• Introduction to AI Regulation: Why It Matters

• Core Principles: Transparency, Accountability, and Risk-Based Design

• Understanding Risk Categories in AI Systems

• Legal vs. Ethical Governance in Practice

• Deep Dive: EU AI Act – Scope, Risk Tiers, and Compliance Triggers

• U.S. Federal Guidance: Executive Orders, NIST AI RMF, and FTC Policy Signals

• International Perspectives: Brazil, Singapore, Canada, UNESCO, OECD

• Comparative Case: Rights vs. Innovation-Centered Regulation

Operationalizing Regulation Inside Organizations

• Classifying AI Systems by Use Case and Risk

• High-Risk Obligations Under the EU AI Act

• Documentation and Logging Requirements Explained

• Roles and Accountability: Who Is Responsible?

• Building Internal Risk Management Systems

• Conducting AI Impact Assessments (AIA, HRIA, DPIA)

• Conformity and Compliance Assessments: What They Look Like

• Supplier Due Diligence and Procurement Compliance

Strategy, Simulation, and Future Policy Design

• Regulatory Role-Play: Inside a Mock AI Audit

• Drafting a Remediation Plan After a Compliance Violation

• Simulating U.S. AI Risk Framework Implementation

• Sandbox Governance and Experimental Regulation Models

• Public Consultation, Civil Society Input, and Co-Governance

• Trends in AI Law: What’s Coming in the Next 5 Years

• Building Proactive AI Governance Into Innovation Strategy

• Capstone Support Video: Policy Plan or Compliance Playbook

• Final Recap: AI Regulation as a Strategic Capability

Interactive expert sessions aligned with weekly modules

Title: Navigating Global AI Laws: What Leaders Need to Know Now
Duration: 60 minutes
Focus: Unpacking key elements of the EU AI Act, U.S. regulatory direction, and international trends
Guest: AI Law & Policy Advisor (EU Commission / NIST / OECD-affiliated)
Interactive: Live map exercise: Identify how different risk tiers apply to common AI use cases across jurisdictions

Title: Inside the Compliance Engine: Building Operational Readiness
Duration: 75 minutes
Focus: How organizations prepare for AI regulation—system classification, documentation, impact assessments
Guest: Chief Compliance Officer / Legal Counsel from a tech or healthcare organization
Interactive: Walkthrough of a sample AI compliance checklist + audience critique and discussion

Title: AI Policy in Action: Regulation, Resistance, and Real-World Decisions
Duration: 90 minutes
Focus: Simulation debrief, participatory regulation, and future-focused governance strategies
Guest Panel: Regulator + Civil Society Advocate + Corporate Ethics Lead
Interactive: Capstone project feedback + group role-play: respond to an AI regulatory audit scenario in real time

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