As central banks accelerate their exploration of digital currencies, the fusion of Artificial Intelligence with CBDC systems is rapidly becoming a strategic imperative. This intensive program explores how AI can enhance CBDC frameworks through programmable payments, fraud detection, privacy preservation, and cross-border operability. Participants will navigate emerging global use cases, hands-on tools, and regulatory considerations shaping the next wave of sovereign digital money.
- Global CBDC trends: retail vs wholesale, cross-border (mBridge, digital euro, e-rupee)
- AI-powered smart contracts for programmable monetary policy
- Fraud detection: ML for AML/CFT in CBDC frameworks
- Privacy solutions: zero-knowledge proofs & post-quantum cryptography
- Blockchain + AI integration for real-time settlement
- Cross-border interoperability: token bridges & BIS Innovation Hub
- Regulatory and ethical frameworks: explainability, surveillance, bias
- AI-driven economic programming: dynamic interest, targeted transfers
- Compare CBDC architectures and AI use cases across global pilots
- Architect AI-enabled smart contracts for policy automation
- Deploy ML frameworks for transaction monitoring and fraud prevention
- Apply privacy-preserving technologies in CBDC systems
- Design multi-jurisdiction token bridges and interoperability architectures
- Embed ethical and governance frameworks into AI-CBDC deployments
- Simulate dynamic monetary tools like programmable interest or tiered transfers
- Build AI-infused prototypes and dashboards for policy execution
- Central bank CBDC, payment systems, and digital innovation teams - Financial regulators, financial crime compliance officers - Policy architects, legal counsel, and digital currency governance leads - Multilateral institution advisors (BIS, IMF, World Bank) - Fintech and vendor solution architects for CBDC ecosystems
- Interactive lectures combining theory and project examples - Case studies: digital euro, e-rupee, digital renminbi, mBridge - Hands-on labs: smart contracts, ML pipelines, privacy tools - Group workshops: interoperability frameworks & policy simulations - Governance clinics: ethical review, model explainability, risk audits - Final capstone: deploy a prototype AI-CBDC system with dashboard
- Overview of retail vs wholesale CBDC trends
- Cross-border CBDC rails: mBridge, Project Dunbar, BIS pilots
- Case studies: digital euro, digital rupee, digital renminbi
- Role of blockchain + AI in CBDC operations
- Q&A: surveillance vs sovereign privacy concerns
- Lab: map CBDC pilot architectures
- Mechanics of programmable smart contracts via AI logic
- AI policies: targeted transfers, dynamic rates, conditional rules
- Fraud detection via ML: flagging illicit behavior
- Case: BIS smart-contract trials with AI
- Lab: create intelligent smart contract prototype
- Discussion: balancing automation and oversight
- Zero-knowledge proofs for private yet transparent transactions
- Post-quantum cryptography for resilient CBDCs
- Ethical considerations: bias, surveillance, explainability
- Policy controls and privacy-safe AI architectures
- Lab: prototype private transaction with zk-proof
- Group debate: privacy vs AML demands
- Architecture of multi-CBDC platforms and token bridges
- Role of AI for routing, compliance and FX stability
- Smart contracts across borders: regulatory challenges
- Lab: map interoperable token bridge workflow
- Thematic panel: global CBDC partnerships & strategies
- Building AI + CBDC dashboards (Power BI, Python)
- Governance: model validation, audit trails, ethical frameworks
- Risk assessment: liquidity, bank disintermediation, cyber-resilience
- Lab: deploy end-to-end prototype with dashboard
- Capstone: present AI-CBDC deployment strategy
- Roadmap: organizational integration & next steps
Group & Corporate Discounts: Available for companies enrolling multiple participants to help maximize ROI. Individual Discounts: Offered to self-sponsored participants who pay in full and upfront. Registration Process: Corporate nominations must go through the client’s HR or Training department. Self-nominations must be prepaid via the “payment by self” option. Confirmation: All registrations are subject to DIXONTECH’s approval and seat availability. Refunds: Provided in case of course cancellation or no seat availability. Tax Responsibility: Clients are responsible for any local taxes in their country.