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In Part I of this series on Disclosing AI Inventions, we
discussed the basics of machine learning and the unique disclosure
challenges presented by the black box nature of trained
machine learning models. Nevertheless, current U.S. patent laws are
generally viewed as sufficient to ensure adequate disclosure of
machine learning inventions to the public, and it will be left to
the courts to shape the details of disclosure requirements through
interpretation of existing patent laws. In this Part II, we discuss
techniques for disclosing machine learning inventions in compliance