text: Yet another risk connected to seeming coherence and fluency in- 
  volves machine translation (MT) and the way that increased fluency 
  of MT output changes the perceived adequacy of that output [77]. 
  This differs somewhat from the cases above in that there was an 
  initial human communicative intent, by the author of the source lan- 
  guage text. However, MT systems can (and frequently do) produce 
  output that is inaccurate yet both fluent and (again, seemingly) 
  
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              [html]<thead><tr><td>Table</td><td>usystem ( or the organization deploying the system ) has accountability for the truth</td></tr></thead><tbody><tr><td>Specificity ( mean )</td><td>Table toxonomy</td></tr></tbody>
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  23Such as the GPT-3 powered bot let loose on Reddit; see https://thenextweb.com/ 
  neural/2020/10/07/someone-let-a-gpt-3-bot-loose-on-reddit-it-didnt-end-well/amp/. 