CEAMLS serves as a resource for both developers and the public by promoting the development of models that are open for analysis and are linked with visual analytics so that everyone is more knowledgeable about the capabilities, limits, and biases that these models may possess. CEAMLS also analyzes new AI innovations to determine ways in which they could become problematic or damaged due to algorithmic bias, either actual or perceived.