In an era where artificial intelligence demonstrates linguistic abilities comparable to those of humans, we must now re-examine the ethics of language.
"Artificial Intelligence and Language Ethics" addresses ethical issues in AI language stemming from data bias and lack of documentation. It also explores the definition and types of unethical expressions, contextual characteristics of the Korean language, media-specific case studies, and educational challenges, proposing new directions for language ethics.

In short, machine-created language has inherent problems with the "learning data" itself, which is directly related to the properties of large-scale data.
These limitations arise from the fact that the entire process of building data—who speaks, what is collected, and how it is filtered—cannot go through transparent procedures and stages.
Unlike the creativity of human language, mechanical creativity has no intention, context, or ethical awareness, and is highly productive anytime, anywhere.
Therefore, the ripple effect of text or voice data created by artificial intelligence goes beyond what we can expect.
In the age of artificial intelligence, we must consider and prepare for the possibility that this mechanical creativity could bias a particular worldview and reproduce unethical practices and discrimination.
--- From "01_“Why is language ethics important in the age of artificial intelligence?”

There has never been a time in language studies when there has been more interest in 'unethical expression' than there is today.
Concerns about profanity, vulgarity, and discriminatory and hate speech, which had previously remained on the periphery of linguistic research, have emerged as key issues across the humanities, including linguistics, with the spread of artificial intelligence.
The essence of the problem is related to how to prevent and respond to the problems of language ethics that exist behind the linguistic creativity of machines.
--- From “02_“What is unethical expression?”

As artificial intelligence becomes more commonplace, accountability for the results generated, the accuracy and verifiability of the results generated, and transparency regarding their use are emerging as key issues internationally.
Establishing a classification system for unethical expressions and standards for detection and de-identification that reflect the linguistic characteristics and socio-cultural context of the Korean language are ethical factors that must be considered in the development of artificial intelligence.
Beyond simply technical measures to exclude profanity and vulgarity, we need language policy design based on lexicographic and sociolinguistic analyses of the ethical nature of language to enable AI to internalize social diversity and equality values.
The linguistic ethics of artificial intelligence will also become an essential task in securing the social acceptability and public nature of artificial intelligence in the near future.

--- From "04_“Unethical Expression and Reader Artificial Intelligence”"