I am a AI researcher and consultant. My primary focus is on the implementation of AI provenance and governance frameworks, as well as the secure application of local, sovereign AI technologies.
I am developing an AI provenance audit service (Arkrim) and I am a co-founder of a project that is creating an AI-driven management platform for BC Strata board members and caretakers.
I am also a member of the local Z-Space co-work and technology society where we are experimenting with the establishment of a shared AI compute infrastructure based on local AI models and heterogenous, off-the-shelf compute resources.
I am also an archivist. I have been working with technology for archival collections since earning my Masters degree in Archival Science in 1997. I am a Distinguished Alumnus of the University of British Columbia's iSchool. My consulting work is focused on local, sovereign AI-driven solutions for archives and records management as well as decentralized archival networks.
I am a decentralizationist. I have been working with technology for decentralized systems since 2016 when I wrote my vision piece: Decentralized Autonomous Collections (see https://tinyurl.com/decentralized-collections). This includes projects using ATProto, Arweave, IPFS, Cardano, and Polygon.
I am the creator of the open-source Archivematica and AtoM (AccessToMemory) software applications, the most widely-deployed digital archives system worldwide.
I have worked with public sector institutions worldwide (including United Nations, World Bank, NATO) to provide industry-standard record-keeping technology and digital preservation services that range from writing strategy reports, analyzing system requirements, designing system architectures, developing software, and managing open-source projects. I have been a frequent conference speaker on these topics.