Alessandro Marchesano
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Alessandro Marchesano has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Luigi Lauriola
Department of Computer Science and Engineering University of Bologna Bologna Italy
1 shared publication - Nicolò Romandini
Department of Computer Science and Engineering University of Bologna Bologna Italy
1 shared publication - Rebecca Montanari
Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
1 shared publication
Latest Publications
- Open Access
- 4 September 2026
- Published by Wiley in AI Magazine
- Vol. 47 (3) , e70084
Enabling trustworthy agentic AI through blockchain technology
Agentic AI systems are increasingly capable of autonomous decision‐making and collaboration across distributed environments. However, existing frameworks largely assume trust among agents, without providing mechanisms for verifiable identity, behavioral accountability, or interaction transparency. This work proposes a blockchain‐based backbone infrastructure that enables a verifiable trust layer for autonomous multi‐agent systems. Agent identities are bound to decentralized identifiers (DIDs) registered on‐chain, while an on‐chain Agent Registry enables reputation‐aware capability discovery. By integrating smart contracts, DIDs, and verifiable credentials (VCs), the framework ensures that trust is not assumed but earned through interactions: agents issue VC endorsements after each task, and dedicated smart contracts automatically update reputation scores, applying incentives and penalties accordingly. Blockchain provides immutability, transparency, and programmability, transforming trust from an implicit assumption into an explicit, auditable, and enforceable property of the multi‐agent ecosystem.
- 4 September 2026
- Published by Wiley in AI Magazine
- Vol. 47 (3) , e70084
Open AccessEnabling trustworthy agentic AI through blockchain technology
Agentic AI systems are increasingly capable of autonomous decision‐making and collaboration across distributed environments. However, existing frameworks largely assume trust among agents, without providing mechanisms for verifiable identity, behavioral accountability, or interaction transparency. This work proposes a blockchain‐based backbone infrastructure that enables a verifiable trust layer for autonomous multi‐agent systems. Agent identities are bound to decentralized identifiers (DIDs) registered on‐chain, while an on‐chain Agent Registry enables reputation‐aware capability discovery. By integrating smart contracts, DIDs, and verifiable credentials (VCs), the framework ensures that trust is not assumed but earned through interactions: agents issue VC endorsements after each task, and dedicated smart contracts automatically update reputation scores, applying incentives and penalties accordingly. Blockchain provides immutability, transparency, and programmability, transforming trust from an implicit assumption into an explicit, auditable, and enforceable property of the multi‐agent ecosystem.