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Open Tech Stack

Robust frameworks are deployed for the digital campus for transparency and fairness in the Learn Fellowship.

Read more about Network Technology Compliances enabled on the Open Constitution AI network, a digital commons infrastructure.

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This entails ensuring that development and management practices are transparent and beneficial, particularly regarding data ownership, provenance, and training.

  • Improved Data Consent Protocols: the development of thorough guidelines to ensure transparency in obtaining data owner consent.

  • Utilizing Blockchain for Data Provenance: leading initiatives that leverage blockchain technology to safeguard data traceability and owner consent.

  • Global Data Standards Advocacy: We are committed to promoting the use of standards and ensuring that the campus's digital public services are interoperable and adaptable globally.

The Open Constitution AI network, a digital commons computing infrastructure, involves diversity-oriented componentization of data sets and human augmentation protocols.

It includes internationalizing(read: linguistic conventions) knowledge bases for training data sets and domain-specific deployments of training data sets. The networked approach incorporates tokenization between autonomous machine entities using a self-governed model to comprehensively oversee the entire network and computing entities. Furthermore, efforts are directed towards resolving data storage issues that are generally associated with centralized and controlled AI systems.

There is also an emphasis on maintaining transparency in the learning process, ensuring that human-readable forms are available to understand how, where, and when the network acquired specific insights or knowledge discoveries.

Knowledge discovery is supported by peer-reviewed, embedded knowledge bases integrated semantically through a novel indexing structure using neural patterns similar to humans.

  • Open Source methodology: Moodle-based LMS has been deployed at the production level(Technology Readiness Level 9)

In conclusion, we are ensuring ethical practices with respect to data privacy standards by using digital encryption technologies, distributed ledgers, and the self-governance model of the embedded knowledge base that powers the digital campus.

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