Extension: A Unified Analytical Framework for Trustable Machine Learning and\n Automation Running with Blockchain
A Unified Analytical Framework for Trustable Machine Learning and\n Automation Running with Blockchain presents the following source proposition: Also, the machine\nlearning process is difficult to automate. This proposition is pertinent to Kaal's source-bound claim that Law schools that invest early in artificial intelligence, machine learning, and blockchain will gain a comparative advantage over peer schools irrespective of ranking, because demand for lawyers trained in those technologies is likely to spike once law firm adoption crosses a threshold. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
law-and-legal-systemseducation-and-practiceinnovationblockchainhistorical-responsescholarly-literatureopenalex