AI will be used extensively to populate nanopubs on the network.
We should likely treat them on the same level as Human users, but with special attention and preserve as many properties as possible about the Agent for example:
- Model provider/model-name
- Client software
- Configuration (prompt, parameters etc)
- Instance owner (human user or org)
However, agent could be AI or non-AI. Also the line is thin between what work is done by AI, and what work is done by a human. Usually its a bit of both, and highly intertwined.
Actually reproducibility and replication is most important but time consuming to record. How can we make whatever we used or did to create the nanopubs easy to record and see transparently, and others to reproduce?
There are multiple possibilities:
- You are solely publishing by hand.
- You use AI as a tool to help you then you publish it yourself.
- You use AI to generate it then check and then publish.
- An agent runs fully automatically and pumps out published nanopubs, then you come later and approve.
See also old Software Agent ontology in nanopubx
AI will be used extensively to populate nanopubs on the network.
We should likely treat them on the same level as Human users, but with special attention and preserve as many properties as possible about the Agent for example:
However, agent could be AI or non-AI. Also the line is thin between what work is done by AI, and what work is done by a human. Usually its a bit of both, and highly intertwined.
Actually reproducibility and replication is most important but time consuming to record. How can we make whatever we used or did to create the nanopubs easy to record and see transparently, and others to reproduce?
There are multiple possibilities:
See also old
Software Agentontology in nanopubx