Human-centric occupations are still seeing growth, according to LinkedIn. For machine-translation “we also need good control: ability for a human operator to monitor the system and change its behaviour if necessary. For such human-in-the-loop system to work well, it’s crucial that the human-machine communcation be effective.”(Max Tegmark, 2017) “AI is very, very stupid … at least compared to humans.” (Andrew Moore, Google, 2018) For this reason, the ARCS is a Human-Assisted Virtual Assistant (HAVA) because we have something called ´document retrieval`: say the user asks a question via typed input; then the virtual assistant goes through the documents of the ARCS to find semantically and situationally related documents, which it presents alphabetically sorted to the human agent, who makes the final decision. “The right word figures as such among many possible words.” (Charles Taylor, 2016) “The proper name bringeth to mind one thing only, universals (i.e. concepts or categories) recall any one of those many.” (Hobbes) And Locke states: “Speech exists where words are hooked up to thought; and this hookup has to occur in thought.” And Max Tegmark (2017) adds that translators “therefore rely heavily on subconscious intuition to complement their conscious reasoning, with experts developing an almost uncanny feel for which positions are strong and which are weak.”

This curated way, where an advanced reader with an alert mind looks at the material and has the final call, is the best way for authentic language production and translation. And semantic faithfulness is arguably the most commonly accepted and fundamental goal of translation. The ARCS will augment human intelligence in multiple areas.