Decentralised Governance-Driven Architecture for Designing Foundation Model based Systems: Exploring the Role of Blockchain in Responsible AI

TL;DR

This paper proposes a decentralised blockchain-based architecture to improve governance of foundation model AI systems, addressing trustworthiness, accountability, and misuse prevention.

Contribution

It introduces a novel architecture leveraging blockchain to enhance governance in foundation model AI systems, focusing on decentralisation and responsible AI.

Findings

Identifies eight governance challenges in foundation model AI systems.

Proposes a blockchain-based architecture to address governance issues.

Demonstrates how decentralised governance can be implemented using blockchain.

Abstract

Foundation models including large language models (LLMs) are increasingly attracting interest worldwide for their distinguished capabilities and potential to perform a wide variety of tasks. Nevertheless, people are concerned about whether foundation model based AI systems are properly governed to ensure the trustworthiness and to prevent misuse that could harm humans, society and the environment. In this paper, we identify eight governance challenges of foundation model based AI systems regarding the three fundamental dimensions of governance: decision rights, incentives, and accountability. Furthermore, we explore the potential of blockchain as an architectural solution to address the challenges by providing a distributed ledger to facilitate decentralised governance. We present an architecture that demonstrates how blockchain can be leveraged to realise governance in foundation model based AI systems.