Is it possible not to cheat on the Turing Test: Exploring the potential and challenges for true natural language 'understanding' by computers

@article{Alberts2022IsIP,
  title={Is it possible not to cheat on the Turing Test: Exploring the potential and challenges for true natural language 'understanding' by computers},
  author={Lize Alberts},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.14672}
}
The increasing sophistication of NLP models has renewed optimism regarding machines achieving a full human-like command of natural language. Whilst work in NLP/NLU may have made great strides in that direction, the lack of conceptual clarity in how ‘understanding’ is used in this and other disciplines have made it difficult to discern how close we actually are. A critical, interdisciplinary review of current approaches and remaining challenges is yet to be carried out. Beyond linguistic… 

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