Artificial intelligence (AI) refers to the theory and development of computer systems capable of performing tasks that generally require human skills and reasoning. The rapid advancements in the field have led to extensive research highlighting the benefits of using AI in language test production, including saving time, creating test papers quickly, and improving test-takers’ assessment experiences. However, these benefits can only be exploited with appropriate human intervention. Human intervention entails that no machine or software decision is considered final without human review. This is crucial for obtaining reliable outcomes, as biases in AI-generated tests occur frequently. A ‘bias’ is a systematic error in AI decision-making processes that leads to unfair outcomes based on factors such as gender, race, ethnicity, and language. Therefore, human intervention is significant in AI-generated language test production to achieve unbiased results.