Criticism “AI-Sounding” overlooks the deepest cultural biases
In our artificial intelligence, we do not use artificial intelligence tools to create direct articles. Instead, we use Chatgpt Deep Research, for example) to search for resources and help us in our data creation process. I have been writing for several years, and I have since developed a special passion for EM-Dash, a powerful tool used to connect two full ideas within one sentence, an extended sentence. Unfortunately for me, this punctuation mark, which was a symbol of literary and smart taste, has become increasingly linked to large language models such as ChatGPT. Despite the potential accusations of using artificial intelligence to lead to my writing or the risk of looking like Chatgpt whenever I write, I will never stop using EM-Dash-here.
In fact, there were extensive examples of the content of human expression that is suffocated by external pressures – whether they are control policies in authoritarian systems or the enforcement of social standards and taboos, many cultures have specific characteristics dictating what you can or cannot say. However, I claim that none of these restrictions mentioned above, in practical application, is organized roadAn idea is expressed. Unable to talk about the majority of the languages of the world, I must use a specific example of the English and Chinese language, the two languages that I speak fluently. One can argue that the speech pattern (such as differences in the use of punctuation, specific vocabulary, and phrases) exists in the form of dialects. Both languages were modified, in many cases, as a result of regional discord, which led to a large number of dialects (American American and South American English language as examples of American dialects; in Guangdonghua and Binga as examples of Chinese mandarin dialects) that contribute to inquiries in many cultural wires.
In order for the parallel argument to be effective, the issue of whether the stylistic preference of one person can be compared to one of those common to a wide range of individuals. Practice neutrality while answering this question, it is important to admit that dialecting speakers were sometimes persecuted because of their deviation from building a common grammatical sentence, as was the case in the late twentieth century, when AAVE was considered “broken in English.” This is likely to be the case as a result of the vernacular itself linked to the negative perceptions of black stereotypes, and not because of the weakness inherent in the characteristics of the dialect itself; A white man used AAVE in that time period to be ashamed not because of the lack of gravity of his grammatical language, but because of his voluntary association with typical ideas of crime and bad education. Consequently, we see that cultural bias against dialects are actually generalized to all the morals of speech as long as they are related to a negative social perception.
On the other hand, I claim that the verbal characteristics of stylistic choice in the language should not be considered without accompanying the context of whether this constitutes a direct result or application of features that are morally moral, because it is not morally unusual to link the unfamiliar words that the individual enjoys from the individual unless the self -choices are the implementation beliefs. In this logic, we can condemn the individual’s use of racist language because Words used by the speaker virtually transmit his bias, while using a similar language without Bias, as often when the “reclaimed” insults are used internally by members of the corresponding ethnic groups, are usually morally acceptable.
Return to the issue of “”Why does it seem wrong to look like an artificial intelligence model? ,, These conclusions apply prominently. Perhaps one of the potential explanations within the inherent mile of our community is to estimate individual achievement through students-students who get the most difficult mathematics lessons or obtain the highest grades in exams, often get the maximum benefit-as well as the connection of these values with the same ideals of creativity and self-reliance. Despite my excessive optimistic belief that artificial intelligence models such as ChatGPT should remain, at most, a useful tool to help humanity solve some of its basic problems, many consider a simple electrode of many burdens that come with a human simplicity, and creativity being one of them. It follows that the writing similar to the grammatical text produced by one of these models can be explained as a bold exit from the higher ideals mentioned above for the excellent person; Wished imagineFrom this role alone (as, in our case, the idea that artificial intelligence is a lazy means of completing the appointed work) is the main specification of the way the linguistic methods associated with AI are explained.
One of the clear criticisms of the popular position is that it is unwanted to write like an artificial intelligence model stems from the primary concept of Amnesty International itself. The system card is directed to the largest artificial intelligence companies (Openai, AnthropCic, DeepMind), its models to be useful and vocational. Take advantage of the circular that LLMS is trained exclusively on human data, and thus finding the patterns of language and delivery and benefiting from humans themselves, it will not be possible to say that many common patterns that were observed in artificial intelligence models supposed to be, at least were delivered by humans before the era of artificial intelligence, signs of the signs of the trial LLMS. It is then ironic that writing is like those produced by artificial intelligence indicates an unwillingness to show the values of human excellence, as the accuracy and accuracy that was trained in this LLMS indicates that the text resulting from these models has already been compatible with the instructions in the model card, which contradicts the original claim, marijutuns of human logic.
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Another less clear point lies in the human nature by nature for language. It is common and natural like eating or sleeping, but I feel dismay from the indifference to some individuals to allow something that has no life like artificial intelligence from us. Although I will leave this point of speculation as an exercise for the reader, I must emphasize my point of view that regardless of what, we must give priority to maintain our humanity in the background of rapid artificial intelligence development. Although artificial intelligence detection devices and their peers may see my writing and jump to the conclusion that the text was created from artificial intelligence, my humanity forces me to continue using the EM-Dash.