AED
UAD Dirham
Code: AED
Mentor Based
AI Policy Labs: Regulation in Practice
Interactive Program on Operationalizing AI Laws, Standards, and Public Governance Frameworks
Early access to the e-LMS platform is included
About This Course
“AI Policy Labs: Regulation in Practice” is a simulation-driven, policy-maker-focused program designed to translate ethical principles and legal frameworks into enforceable AI regulation.
Participants explore and compare leading regulatory models—such as the EU AI Act, US Executive Orders, OECD AI Principles, UNESCO AI Ethics Recommendations, and national AI strategies—and apply them in lab environments. The program blends lectures, working groups, and live simulation labs to enable participants to design policies, conduct regulatory risk analysis, and advise governments or corporations on AI compliance, surveillance limits, and ethical oversight.
Aim
To develop practical policymaking and implementation skills for designing, analyzing, and enforcing AI governance and regulatory frameworks in real-world national, regional, and institutional settings.
Program Objectives
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Equip professionals with the tools to bridge theory and implementation in AI policy
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Train participants to simulate, draft, and critique regulatory frameworks
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Support creation of fair, democratic, and innovation-supportive AI ecosystems
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Promote alignment across sectors and jurisdictions in regulating AI
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Build institutional capacity to govern and monitor algorithmic systems
Program Structure
Week 1: Understanding the Global AI Regulatory Landscape
Module 1: Foundations of AI Regulation
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Chapter 1.1: Why Regulate AI? Risks, Public Interest, and Policy Gaps
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Chapter 1.2: Core Concepts – Risk-Based Regulation, Accountability, Transparency
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Chapter 1.3: Categories of AI Use Cases and Risk Levels
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Chapter 1.4: Legal vs. Ethical Instruments in AI Governance
Module 2: Major Regulatory Frameworks
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Chapter 2.1: The EU AI Act – Provisions, Risk Tiers, and Obligations
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Chapter 2.2: U.S. AI Strategy – Executive Orders, NIST AI RMF, FTC Guidance
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Chapter 2.3: Global Landscape – Canada’s AIDA, Brazil, Singapore, OECD, UNESCO
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Chapter 2.4: Comparing Regulatory Approaches: Risk, Rights, and Enforcement Models
Week 2: Operationalizing Regulation Inside Organizations
Module 3: Compliance and Internal Governance
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Chapter 3.1: AI System Classification and Use Case Mapping
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Chapter 3.2: Compliance Requirements for High-Risk Systems (per EU AI Act)
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Chapter 3.3: Roles and Accountability: DPOs, Risk Officers, and AI Governance Leads
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Chapter 3.4: Documentation, Logging, and Risk Management Systems
Module 4: Tools for Policy Implementation
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Chapter 4.1: Impact Assessments (AI, Human Rights, Algorithmic, Environmental)
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Chapter 4.2: Conformity Assessments and Post-Market Monitoring
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Chapter 4.3: Supplier and Third-Party Due Diligence
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Chapter 4.4: Interfacing with Regulators and Auditors
Week 3: Strategy, Simulation, and Shaping the Future
Module 5: AI Policy Simulation Labs
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Chapter 5.1: Lab Setup – Regulatory Role Play (Company, Regulator, Public)
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Chapter 5.2: Enforcing the EU AI Act – Mock Review and Assessment
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Chapter 5.3: U.S. Risk Management Strategy Simulation
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Chapter 5.4: Responding to Violations: Drafting Remediation Plans
Module 6: Innovation, Influence, and Next-Gen Governance
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Chapter 6.1: Sandbox Models and Experimental Regulation
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Chapter 6.2: Public Engagement and Participatory Governance
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Chapter 6.3: Building Regulatory Foresight into AI Strategy
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Chapter 6.4: Capstone – Draft a Regulatory Compliance Plan or Policy Proposal
Who Should Enrol?
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Government officials and regulators
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Policy researchers and legislative drafters
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Legal scholars and AI ethics researchers
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Multilateral organization professionals (UN, WHO, WEF, OECD, etc.)
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Corporate legal and policy officers working on AI compliance
Program Outcomes
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Understand the global landscape of AI regulation and its legal evolution
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Draft practical and enforceable AI governance policies
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Conduct policy simulations, risk classification, and stakeholder assessments
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Advise on regulatory strategy for governments, companies, or civil societies
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Receive a certificate in “AI Policy Implementation and Regulatory Practice”
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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