Blockchain Infrastructure for Intelligent Cyber–Physical–Social Systems: Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI
This document is a tutorial outline presented at the 2026 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), focusing on blockchain infrastructure for intelligent cyber-physical-social systems. It examines the integration of post-quantum security, cross-ledger interoperability, and trustworthy data economies to support embodied artificial intelligence. The session combines a live AWS Braket quantum demonstration with five technical modules covering embodied AI world models, quantum threat assessment, scalable architectures, metadata standards, and industry ecosystem deployment.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, industry practitioners, and distributed systems engineers interested in quantum-resistant blockchain architectures and embodied artificial intelligence.
What the document contains
The tutorial addresses post-quantum security threat assessments, cross-ledger interoperability through BrokerChain protocols, and trustworthy data economies implementing Croissant metadata standards for embodied AI systems.
The document does not contain formal regulatory frameworks, legal compliance mandates, or government enforcement mechanisms.
- The convergence of embodied AI and quantum computing creates critical infrastructure demands for blockchain systems.
- Quantum computing advances threaten classical public-key cryptography, necessitating urgent post-quantum migration strategies.
- BrokerChain cross-shard protocols provide scalable coordination mechanisms for heterogeneous ledger communications.
- Croissant metadata standards and blockchain provenance ensure trustworthy, reproducible, and incentive-compatible data economies for robotic systems.
· Objectives and Motivation · Timeline and Intended Audience · Timeliness and Technical Issues · Tutorial Speakers and Biographies · Outline of Tutorial Content
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
1/5Protection of personal data and private life
security analysis of blockchain interoperability mechanisms
Table I
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-23