Summary: We propose three estimators of Kullback-Leibler information functions using data from accelerated life tests. This acceleration model is assumed to be a tampered random variable model. Some asymptotic properties of the proposed estimators are proved. Simulations are performed for comparing the small sample properties of the proposed estimators under conditions of accelerated life tests.