Artificial intelligence continues to accelerate innovation across biotech and materials science. A University of Gothenburg doctoral thesis reveals AI methodologies that enhance woven composite material development by reducing reliance on large datasets. In biomechanics, researchers demonstrated that incorporating knee alignment data refines deep-learning models predicting walking ground reaction forces. Moreover, studies reveal biases in current AI text detection tools affecting non-native English academic authors, emphasizing the need for fairer AI frameworks in scholarly publishing. These advances underscore AI’s growing integration and the challenges in ensuring equitable and precise applications.