Built on peer-reviewed research.

This extended journal article develops an AI safeguarding system in which AI rules are stored as immutable smart contracts on a blockchain, governed via proof of personhood. The proposed architecture integrates zero-knowledge proofs (zk-STARKs) for privacy protection and post-quantum-secure identity verification, and introduces the concept of an AI protection shield.

This article closes a gap in the literature by systematically examining how blockchain technology can be used to overcome existing limitations in AI ethics, and proposes a framework that improves the robustness, public trust and ethical conformity of AI systems.

This article proposes writing AI rules into a blockchain that can only be updated by humans using a proof-of-personhood consensus mechanism combined with identity mechanisms and biometric features. It also presents a theoretical formulation of this approach and discusses its relevance for society.

This article introduces and simulates a new mechanism for anonymous voting on AI rules. It uses blockchain technology to protect the voting process from malicious actors and to ensure that a majority of trustworthy humans keeps control of the AI and has a say in its regulation.

This article proposes a blockchain-based protection mechanism to shield human market participants from financial losses in "sell-the-news" events potentially triggered by AI-generated fake news. Simulations show that integrating blockchain, oracles and sentiment analysis significantly reduces losses for human market participants compared to AI-based ones.

This article proposes a technical architecture for the secure and confidential verification of drone/UAV telemetry using hash-based methods, Merkle trees and blockchain-based smart contracts, enabling a resilient and transparent decentralised AAM system.

Building on earlier work on privacy-preserving UAV telemetry verification, this article proposes a token-based incentive and coordination mechanism for decentralised Advanced Air Mobility. Simulations confirm how tokenomics can ensure safety, transparency, efficiency, fairness, scalability and resilience.