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A License Management System for Collaborative AI Engineering
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science. (SDS)ORCID iD: 0000-0001-6895-4503
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science. (SDS)ORCID iD: 0000-0003-4814-4428
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science. (SDS)ORCID iD: 0000-0002-5235-5335
Bonseyes Community Association.ORCID iD: 0000-0003-4350-1617
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

The AI marketplace ecosystem accelerates multiple modules of the AI engineering pipeline by fostering collaboration between stakeholders. However, marketplace collaborators often face a dilemma in striking a balance between sharing artifacts and protecting intellectual property (IP) rights. Thus, there is a need for a license management system within the AI marketplace to facilitate the exchange of artifacts in a trusted and secure manner. 

This work shares experiences while building such a license management system within the Bonseyes marketplace (BMP), a functional crowdsourcing AI marketplace that specializes in deploying real-time applications on edge devices. The BMP was developed, and its applicability is proven through the European H2020 project by a series of open calls and workshops, for gathering stakeholders and orchestrating the marketplace operations. 

The main contributions of this work are (i) implementation of an end-to-end license management system that deals with selecting license templates, license agreement interaction between seller and buyer, and the generation and enforcement of human- and machine-readable license files, and (ii) introduction of "Synchronization licenses'' concept from the music industry to the AI marketplace context where consumers acquire a license to integrate the artifact into another application, and a respective BMP use-case for collaborative AI engineering. 

Keywords [en]
License Management, AI Marketplaces, Data Marketplaces, Collaborative AI Engineering
National Category
Engineering and Technology Information Systems
Research subject
Computer Science; Systems Engineering
Identifiers
URN: urn:nbn:se:bth-27607OAI: oai:DiVA.org:bth-27607DiVA, id: diva2:1944918
Note

This is the accepted manuscript of a paper to be published in the 2024 7th Artificial Intelligence and Cloud Computing Conference (AICCC), December 14–16, 2024, Tokyo, Japan. The final version will be available at https://doi.org/10.1145/3719384.3719395.

Available from: 2025-03-17 Created: 2025-03-17 Last updated: 2025-04-10Bibliographically approved
In thesis
1. Digital Sovereignty for Collaborative AI Engineering
Open this publication in new window or tab >>Digital Sovereignty for Collaborative AI Engineering
2025 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In Information Systems, implementing digital sovereignty is essential for improving transparency and establishing trust among stakeholders. This need for digital sovereignty is more prevalent in crowdsourcing platforms, where the stakeholders are often unknown to each other. AI marketplaces belong to the category of crowdsourcing information systems, where individuals and organizations collaborate to share various AI artifacts with one another. These marketplaces act as platforms that enable artifact exchange, thus accelerating the AI application development process through a multi-stakeholder approach to collaborative AI engineering. This work, investigates techniques for implementing digital sovereignty to promote collaboration among the stakeholders.

Digital sovereignty thrives by empowering true owners with control and the ability to make independent decisions over their digital footprint. Depending on the application context, the type of control and the decision-makers change accordingly. For governments, digital sovereignty means the ability to manage citizens’ personal data and ensure data residency within a political region. For individual technology users, digital sovereignty refers to the ability to manage and control the interoperability of personal data across similar platforms. Nevertheless, digital sovereignty focuses on transferring control to the true owner by eliminating intermediaries or centralized organizations.

The scope of this work lies in achieving digital sovereignty for marketplace platforms that operate in the context of exchanging data and other AI software artifacts. The Horizon 2020 projects, BonsApps and dAIEdge,  provide a functional crowdsourcing AI marketplace with beta stakeholders, which also serves as a source for gathering requirements and validating concepts. The main contributions of this work are translating digital sovereignty definitions and requirements into the context of collaborative AI, as well as designing and implementing technical solutions to empower stakeholders of the underlying information system with digital sovereignty over their digital assets.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2025. p. 140
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 2025:03
Keywords
Digital Sovereignty, Collaborative AI Engineering, Data Sovereignty, Data Marketplaces, AI Marketplaces
National Category
Computer and Information Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-27712 (URN)978-91-7295-497-7 (ISBN)
Presentation
2025-05-28, J1630, BTH, Valhallavägen 1, Karlskrona, 09:00 (English)
Opponent
Supervisors
Funder
EU, Horizon 2020, 101120726
Available from: 2025-04-11 Created: 2025-04-10 Last updated: 2025-05-06Bibliographically approved

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