In recent years, the rapidly increasing use of artificial intelligence has begun to be incorporated into many fields in academia and the market. This study investigates the extent to which artificial intelligence is used in determining the sound absorption performance of materials, which have practical implications in improving indoor acoustic conditions. To this end, studies conducted over the past ten years based on three specified keywords were examined. Various constraints were applied during the review process. First, titles and keywords were scrutinized to filter the studies. Then, research articles were selected, while other studies were eliminated. Secondary keywords used in the studies were identified, and a field assessment was conducted using an analysis program. The results were evaluated by grouping them under different subheadings. The evaluation included the year the studies were conducted, the artificial intelligence methods used, and any additional inferences, if available. In the evaluation section, comments were made on the usability of artificial intelligence in sound-absorbing materials, and the shortcomings in the field were addressed. Suggestions for future studies were also presented. The review study is intended to serve as a guide, particularly for new studies in this field.