Descriptive Evaluation of Artificial Intelligence in Solving Problems Related to Basic Concepts of Population Genetics

<p>Population genetics is a study area in genetics that requires not only knowledge of genetic concepts, but also the numerical ability to predict the condition of allele frequencies in the population. In recent years, artificial intelligence (AI) has become part of the technological advances that humans utilize, including in studying population genetics. Therefore, it is necessary to ascertain that the information provided by AI has high accuracy and consistency. This research aimed to analyzed accuracy and consistency of several number of AI to solved the problem related to population topics. This research has been conducted using five different AIs (ChatGPT, Gemini AI, Deep AI, ChatSonix AI, and Perplexity AI). These five different AIs tested on two different laptops that connected to different accounts with different search histories. Each AI on the two laptops was asked by questions at six different levels of Bloom's taxonomy. All responses given by the AIs were manually corrected by two separate genetics lecturers from different institutions independently. Results showed that all AIs were highly accurate in their responses to all questions. On to the other side, each type of AI on two different laptops gave responses with different sentence structures, however, they had the same meaning.</p>