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Uncovering Covert Racism Against African American English Speakers in LLMs

Language is a powerful tool that shapes our perceptions and interactions with the world around us. However, not all languages and dialects are treated equally, and this is especially true for African American English (AAE) speakers. In the legal field, covert racism against AAE speakers can manifest in various ways, impacting their access to justice and fair treatment within the legal system. This article aims to uncover the covert racism faced by African American English speakers in Legal Language Models (LLMs) and explore the implications of such discrimination.

Language plays a crucial role in legal proceedings, as it is the primary means through which individuals communicate their rights, grievances, and defenses. However, the language used in legal contexts is often biased towards standard English, which can disadvantage speakers of non-standard dialects like AAE. Studies have shown that AAE speakers are often perceived as less intelligent, less trustworthy, and less credible than speakers of standard English, leading to unfair treatment in legal settings.

Case Study: The Impact of AAE on Witness Testimony

In a study conducted by linguist John Baugh, participants were asked to evaluate witness testimony presented in both AAE and standard English. The results revealed that witnesses speaking AAE were consistently rated lower in credibility and trustworthiness compared to those speaking standard English, even when the content of their testimony was identical. This bias against AAE speakers can have serious consequences in legal proceedings, where witness credibility can make or break a case.

  • AAE speakers are often perceived as less intelligent and less trustworthy in legal settings.
  • Witnesses speaking AAE may face bias and discrimination in the courtroom, affecting the outcome of their testimony.

Legal Language Models (LLMs) are AI systems designed to assist lawyers in drafting legal documents, conducting legal research, and analyzing case law. While LLMs have the potential to streamline legal processes and improve efficiency, they can also perpetuate racism and bias against AAE speakers. Many LLMs are trained on datasets that prioritize standard English, leading to the marginalization of non-standard dialects like AAE.

When AAE speakers use LLMs to draft legal documents, they may encounter biased language suggestions that favor standard English conventions. This can result in documents that do not accurately reflect the speaker’s intentions or legal rights, leading to misunderstandings and potential legal consequences. By failing to account for the linguistic diversity of its users, LLMs can inadvertently perpetuate racism and discrimination in the legal field.

  • LLMs are trained on datasets that prioritize standard English, marginalizing non-standard dialects like AAE.
  • AAE speakers using LLMs may encounter biased language suggestions that do not accurately reflect their intentions.

Conclusion

In conclusion, covert racism against African American English speakers in Legal Language Models is a pervasive issue that undermines the principles of justice and equality within the legal system. By recognizing and addressing the biases present in LLMs and legal proceedings, we can work towards creating a more inclusive and equitable legal environment for all individuals, regardless of their linguistic background. It is essential for legal professionals, policymakers, and AI developers to collaborate in dismantling these barriers and promoting linguistic diversity and cultural sensitivity in the legal field. Only then can we truly achieve justice for all.

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