ProvenAI
ProvenAI is at the forefront of reshaping AI collaboration and knowledge management with a visionary approach. Rooted in the belief that contributors deserve control and recognition for their intellectual contributions, the project introduces groundbreaking features focused on contribution, traceability, and data control.
Central to ProvenAI’s mission is the development of modularized software components that redefine how contributors interact with AI systems. The project pioneers decentralised identities, ensuring secure and personalised attribution for every contribution. This not only safeguards contributors’ intellectual property but also provides them with a sense of ownership and control over their knowledge data. Innovative traceability features, leveraging blockchain technology and Merkle trees, set ProvenAI apart in the AI landscape.
Contributors can now trace the journey of their contributions within AI-generated answers, introducing unprecedented transparency. By adapting the International Standard Content Code (ISCC) to tag specific sub-sections of documents, ProvenAI ensures granular yet cohesive traceability, a revolutionary stride away from traditional
methods.
The heart of ProvenAI lies in fair compensation models, where contributors are recognized and rewarded for their impact. Tokenized metrics provide a standardised and replicable approach to compensating contributors, fostering a circular economy of knowledge creation. This approach not only motivates contributors but also enhances the quality of AI-generated content. Incorporating Next-Generation Internet (NGI) technologies, such as self sovereign identity (SSI), ProvenAI integrates cutting- edge solutions for semantic search and credential management.
ProvenAI envisions a future where contributors have the tools and transparency they need to shape the trajectory of AI knowledge collaboratively.
- Motivation for the project: ProvenAI's innovative technology is vital for TrustChain as it establishes a transparent and fair foundation, offering contributors control over their data, ensuring traceability, and fostering ethical AI collaboration.
- Generic use case description: ProvenAI will target firstly tutors contributing their knowledge to AI agents. This will enable a hands-on exploration of how its features, such as traceability and fair compensation, enhance data provenance in the realm of AI-driven education.
- Essential functionalities: AI Provenance Component: Responds to AI Agent requests with Verifiable Credentials, ensuring transparent data provenance. Decentralised Identities: Identify AI agents by detailing underlying components, purpose etc. Contribution Traceability: Utilising blockchain to establish granular traceability.
- How these functionalities can be integrated within the software ecosystem: - Embed SSI protocols within the GenAI Agent registration process. - Associate ISCC identifiers with subsections of documents. - Integrate the AI provenance component into the content processing pipeline. - Implement tokenized metric algorithms. 3 - Integrate blockchain features into the content management system.
- Gap being addressed: In the current AI ecosystem contributors lack sufficient control over how their data is utilised. ProvenAI's traceability features, and fair compensation models fill this crucial void, providing contributors with control, transparency, and recognition for their intellectual contributions.
- Expected benefits achieved with the novel technology building blocks: ProvenAI's novel technology building blocks offer contributors control, transparency, and recognition within the AI landscape, fostering a more ethical, efficient, and motivating environment for collaborative knowledge creation.
- Potential demonstration scenario: Imagine an educational platform where tutors are a vital part of the AI-driven learning experience. With ProvenAI, the traceability features show how their insights impact AI-generated content, and transparent tokenized metrics calculate fair compensation, creating a dynamic knowledge economy.
Team
Christos Sekas
Software Development Engineer,
the founder of Ctrl+Space Development LP, has
worked as Head of Development and Software
Architect, leading multiple teams, and has
contributed to a variety of Enterprise Software
projects leading Cloud Native Transformation,
Industrial IoT SaaS platform, Technology Company
M&A etc.
Nadia Siokou
Integrated Masters Degree
in Architecture and Urban Planning and a Master’s
Degree in Architectural Theory: Design- Space-
Culture, while having a vast experience in
implementing and managing projects focusing in
community engagement and participatory design
processes.
Giannis Yfantides
Fullstack Software Engineer,
with experience in GenAI developments systems
and is currently involved in integrating SSI
technologies and AI models into to Software
platforms .
Vasilis Tsolis
DPO of the ProvenAI project.
With a dual background in law and engineering,
Vasilis has worked in dispute resolution, contract,
compliance, commercial and procurement
management for multiple sectors.
Entities
Ctrl+Development LP
Ctrl+Space Development is a tech start-
up aiming to accelerate cutting-edge
technology adoption by creating tools for
businesses and training modules to upskill
IT-professionals.
Website: https://www.ctrlspace.dev/
