#HitAI needs technologies for a trusted knowledge life cycle of AI systems in order to reward knowledge producers.
Managing ownership in the knowledge life cycle poses big technological and moral issues and it is certainly more complex than simply using knowledge while forgetting what the source is.
To build a trusted knowledge life cycle of AI systems, we need to investigate two core problems:
building Knowledge Life Cycle Transparent Artificial Intelligence : Indeed, building explainable Artificial Intelligence is a must because, in order to reward knowledge producers, systems need to exactly know who is responsible for a specific decision.
building Trusted Technologies : #HitAI needs to guarantee that data going around have specific owners without revealing who the owner is.