I give you points for optimism and arguing in good faith :)
Unfortunately the extract I quoted is very clear. They aren't talking about understanding that engineer is a person adjective and thus could refer to an entity of unknown gender, which is a separate subfield of AI to word vectors (it'd entity analysis/knowledge graph). They're talking pure probabilities here: given a sequence of words, what is the most probable following sequence? The model gets the answer correct but Googlers are weak and cannot handle the truth, so in an Orwellian twist they label measured reality "biased" and set out to edit the model to convince it that there's no difference in probability between "Yes he did" and "Yes she did".
Unfortunately the extract I quoted is very clear. They aren't talking about understanding that engineer is a person adjective and thus could refer to an entity of unknown gender, which is a separate subfield of AI to word vectors (it'd entity analysis/knowledge graph). They're talking pure probabilities here: given a sequence of words, what is the most probable following sequence? The model gets the answer correct but Googlers are weak and cannot handle the truth, so in an Orwellian twist they label measured reality "biased" and set out to edit the model to convince it that there's no difference in probability between "Yes he did" and "Yes she did".