It would end up being a very long “book”, but I can imagine an AI repository that contains short, simple verified factual statements:
Boston is a city in Massachusetts.
Cabot Cove is a fictional city which is stated to be in Maine in the “Murder, She Wrote” series.
etc.
You could employ humans to verify a collection of these short statements and make sure that nothing goes into the repository unless it has been cleared by human.
Make that repository the reference of first resort for any AI tool and it would begin with a factual foundation (better than starting with reddit or wikipedia).
In traditional IT we have levels of objective/factual REFERENCE DATA. REFERENCE DATA is based on STANDARDS.
Example
Base 10 number system is a STANDARD. Base 16 number system is a STANDARD. Within a STANDARD 12+13 depends on the STANDARD.
Certain US and global GEOGRAPHIC facts are the standard.
Portand ME is not Portland OR. Thus a complex hierarchy exists.
Cabot Cove ME is not real but follows a Literary STANDARD which extends to Books, Movie, TV, Social Media, etc.
Things are TRUE within a CONTEXT. But AI often lacks the meaning of the context. I will specifically ask AI about Dalla GA, GA is clearly the limiting context. But AI will give me answers about Dallas TX outside the context.
Yes, I can badger AI into limiting its response to GA. But that requires me to have knowledge of TX and GA outside AI, which kills the usefulness of AI.
One problem is accepting STANDARDS. Humans have only 2 sex: Male and female; XX and XY chromosones. But try to get those who build AI to accept that.
We humans have many internal contradictions that AI can’t handle.