Recently, the issue of bias in artificial intelligence models has once again attracted attention. According to reports, OpenAI’s GPT-3.5 exhibits racial bias in the resume screening process, and its preference for names of specific ethnic groups may lead to unfairness in the recruitment process. This is not only about fairness and justice, but also highlights that while artificial intelligence technology is developing rapidly, ethical and moral issues cannot be ignored. This article will provide an in-depth analysis of this.
Reports show that OpenAI GPT3.5 shows racial bias in resume sorting, and experiments found that it favors names of specific ethnic groups, which may affect recruitment selections. In addition, gender and racial preferences under different positions have also been experimentally discovered. OpenAI responded that companies often take steps to mitigate bias when using its technology.OpenAI's response highlights the need for companies to proactively take steps to mitigate bias when using its technology, demonstrating that both technology providers and users have responsibilities and need to work together to build a fairer and more equitable AI application environment. In the future, how to effectively detect and correct bias in AI models will become an important topic of continued concern and research in the field of artificial intelligence.