Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets

Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel (2020). Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets In: Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan; Fricker, Samuel (eds.) 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School: Privacy and Identity Management: Data for Better Living: AI and Privacy: Revised Selected Papers. IFIP Advances in Information and Communication Technology: Vol. 576 (pp. 411-426). Cham: Springer International Publishing 10.1007/978-3-030-42504-3_26

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High availability of data is responsible for the current trends in Artificial Intelligence (AI) and Machine Learning (ML). However, high-grade datasets are reluctantly shared between actors because of lacking trust and fear of losing control. Provenance tracing systems are a possible measure to build trust by improving transparency. Especially the tracing of AI assets along complete AI value chains bears various challenges such as trust, privacy, confidentiality, traceability, and fair remuneration. In this paper we design a graph-based provenance model for AI assets and their relations within an AI value chain. Moreover, we propose a protocol to exchange AI assets securely to selected parties. The provenance model and exchange protocol are then combined and implemented as a smart contract on a permission-less blockchain. We show how the smart contract enables the tracing of AI assets in an existing industry use case while solving all challenges. Consequently, our smart contract helps to increase traceability and transparency, encourages trust between actors and thus fosters collaboration between them.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	Business School > Institute for Public Sector Transformation > Data and Infrastructure Business School
Name:	Lüthi, Philipp; Gagnaux, Thibault; Gygli, Marcel; Fiedewald, Michael; Önen, Melek; Lievens, Eva; Krenn, Stephan and Fricker, Samuel
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ISBN:	978-3-030-42503-6
Series:	IFIP Advances in Information and Communication Technology
Publisher:	Springer International Publishing
Language:	English
Submitter:	Marcel Gygli
Date Deposited:	10 Oct 2023 15:53
Last Modified:	10 Oct 2023 15:53
Publisher DOI:	10.1007/978-3-030-42504-3_26
URI:	https://arbor.bfh.ch/id/eprint/20054