 - Fake news generation
 - Fake product review generation
 - spamming/phishing


San Jose State University

 - Bias
 - Beneficial usage
 - Malicious usage


Social impacts of TGMs

Automatic Detection of Machine Generated Text: A Critical Survey
by Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V.S. Lakshmanan
https://arxiv.org/pdf/2011.01314.pdf

Automatic Detection of Machine Generated Text: A Critical Survey


TGMs capture common behaviour of a society reflected in its training data and throw back those in its output, there are different types of bias that can be apprehended by a TGM ,bias can be
Gender bias ((e.g., favoring males over females)
racial bias (e.g., favoring white over black people)
religious bias (e.g., favoring Christians over Muslims). 


Bias of TGMs

TGMs are used to create task oriented systems 
 - question answering, 
 - reading comprehension, 
 - natural language inference, 
 - machine translation


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