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Interactive Program on Operationalizing AI Laws, Standards, and Public Governance Frameworks
“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.
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.
Equip professionals with the tools to bridge theory and implementation in AI policy
Train participants to simulate, draft, and critique regulatory frameworks
Support creation of fair, democratic, and innovation-supportive AI ecosystems
Promote alignment across sectors and jurisdictions in regulating AI
Build institutional capacity to govern and monitor algorithmic systems
Week 1: Understanding the Global AI Regulatory Landscape
Module 1: Foundations of AI Regulation
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
Module 2: Major Regulatory Frameworks
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
Week 2: Operationalizing Regulation Inside Organizations
Module 3: Compliance and Internal Governance
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
Module 4: Tools for Policy Implementation
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
Week 3: Strategy, Simulation, and Shaping the Future
Module 5: AI Policy Simulation Labs
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
Module 6: Innovation, Influence, and Next-Gen Governance
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
Government officials and regulators
Policy researchers and legislative drafters
Legal scholars and AI ethics researchers
Multilateral organization professionals (UN, WHO, WEF, OECD, etc.)
Corporate legal and policy officers working on AI compliance
Understand the global landscape of AI regulation and its legal evolution
Draft practical and enforceable AI governance policies
Conduct policy simulations, risk classification, and stakeholder assessments
Advise on regulatory strategy for governments, companies, or civil societies
Receive a certificate in “AI Policy Implementation and Regulatory Practice”
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
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