Titusz Pan
I addressed priorities and gaps on three specific AI areas, including:
- Metadata Persistence in Dynamic Content Environments: Addressing the gap of traditional identification systems when metadata bindings are disrupted as content is altered. ISCC-soft binding techniques create resilient content-metadata bonds without centralized registries, maintaining reference integrity along numerous axes of change using similarity-preserving identification algorithms.
- Cross-Domain Identification Interoperability: Resolving constraints of isolated content recognition systems. ISCC's composability enables standardized cross-format identification across text, image, audio and video content formats, enabling metadata discovery across previously disparate identification ecosystems without relying on proprietary integration methods.
- Decentralized Authentication Systems: Developing technological infrastructure for decentralized content provenance verification. Classical authentication mechanisms create single points of failure and privacy problems. This project evaluates soft binding methods that enable verifiable content provenance while maintaining compatibility with European digital sovereignty principles and facilitating transparent content verification without trusted centralized authorities.
