While learning about Fabric Protocol and its token ROBO, I have come to the conclusion that to really learn about the project, one has to dig deeper and ask more profound questions about the nature and function of decentralized artificial intelligence systems.$ROBO 
One of the first questions raised by the Fabric Protocol is the question of how blockchain technology could help create a trustworthy artificial intelligence system. The protocol has sought to ground the activities and outputs of artificial intelligence and robots in verifiable blockchain data. The goal, therefore, is to eliminate the need to place blind trust in the providers of artificial intelligence and replace it with a form of verification.
The question of verification, however, does not necessarily address all the issues at hand. Even if the blockchain verifies the data being sent or the data being processed, it does not necessarily verify the accuracy, ethical nature, and contextual appropriateness of the data being generated. Therefore, the question arises, how does one evaluate the quality of the data being generated by artificial intelligence systems?$ROBO 
Nonetheless, this alone does not solve all the challenges. For instance, although the blockchain will verify that the data was submitted and/or processed, it does not necessarily verify the accuracy, ethical appropriateness, and contextual appropriateness of the output. This gives rise to the next important question: How do these decentralized networks evaluate the quality of the work produced by the AI?
Another issue arises in the validator’s participation in the validation process. A small group controlling the validation might cause the decentralization issue. Preventing the validators from colluding also requires the validators to be openly and equally rewarded.
Another important issue in the economic sustainability aspect is the incentives and the emission rates. The incentives should be sufficiently motivating to encourage developers, validators, and machine operators to participate in the network. At the same time, the emission rates should be balanced to avoid inflation.
Lastly, the issue of governance and accountability might be the most important factor in the success of the protocol in the long term. If Fabric can solve these questions effectively, a new model might be created in which AI works within a transparent and decentralized economic network.$ROBO
