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ViSDM: A Liquid Democracy based Visual Data Marketplace for Sovereign Crowdsourcing Data Collection
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0001-6895-4503
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-5235-5335
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-4814-4428
Bonseyes Community Association, Switzerland.
2023 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2023, p. 108-115Conference paper, Published paper (Refereed)
Abstract [en]

The size and diversity of the training datasets directly influences the decision-making process of AI models. Therefore, there is an immense need for massive and diverse datasets to enhance the deployment process of AI applications. Crowdsourcing marketplaces provide a fast and reliable alternative to the laborious data collection process. However, the existing crowdsourcing marketplaces are either centralized or do not fully provide data sovereignty. By contrast, this work proposes a decentralized crowdsourcing platform through prototypical implementation along with active involvement of business entities, that grants the users sovereignty over their collected data, named as Vision-Sovereignty Data Marketplace (ViSDM). This work contributes to the data marketplaces landscape by introducing (i) A liquid democracy-based voting system to negotiate prices between a buyer and multiple data owners, (ii) An automated AI-Based per-sample value calculation function to evaluate the data and distribute profit among the data owners. © 2023 Owner/Author.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023. p. 108-115
Keywords [en]
Blockchain, Computer Vision, Crowdsourcing Data Collection, Data Marketplaces, Smart Contracts, Commerce, Crowdsourcing, Data acquisition, Decision making, AI applications, Block-chain, Data collection, Data collection process, Decision-making process, Deployment process, Training dataset, Visual data, Smart contract
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-24967DOI: 10.1145/3590777.3590794ISI: 001124185500017Scopus ID: 2-s2.0-85161358535ISBN: 9781450398299 (print)OAI: oai:DiVA.org:bth-24967DiVA, id: diva2:1775417
Conference
2023 European Interdisciplinary Cybersecurity Conference, EICC 2023, Stavanger, 14 June 2023 through 15 June 2023
Part of project
HINTS - Human-Centered Intelligent Realities
Funder
EU, Horizon 2020, 101015848Knowledge Foundation, 20220068Available from: 2023-06-27 Created: 2023-06-27 Last updated: 2025-09-30Bibliographically 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: 2025-09-30Bibliographically approved

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Daliparthi, Venkata Satya Sai AjayMomen, NurulTutschku, Kurt

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