AI and the judiciary article
In this activity, we’ll be talking about “AI and the judiciary.”
Please download and read this article below, and we will discuss this topic via the audio lecture in the following steps.
Abstract Machine learning experts are feeding judicial opinions to algorithms, to predict how future cases will be decided. We call the use of such predictive analytics in judicial contexts a jurisprudence of behaviorism, as it rests on a fundamentally Skinnerian model of cognition as a black boxed transformation of inputs into outputs. In this model, persuasion is passé; what matters is prediction. After describing and critiquing a recent study that has advanced this jurisprudence of behaviorism, we question the value of such research.
Pasquale, Frank A. and Cashwell, Glyn, Prediction, Persuasion, and the Jurisprudence of Behaviorism (November 8, 2017). U of Maryland Legal Studies Research Paper No. 2017-34, Available at SSRN: https://ssrn.com/abstract=3067737
Page 4, 5, 6 are helpful to answer the quiz, and Page 9, 10, 11 are conductive to the final test.
© Frank A. Pasquale, Glyn Cashwell