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Promoting Progress: A Qualitative Analysis Of Creative And Innovative Production, Jessica Silbey
Promoting Progress: A Qualitative Analysis Of Creative And Innovative Production, Jessica Silbey
Faculty Scholarship
This chapter is based on data collected as part of a larger qualitative empirical study based on face-to-face interviews with artists, scientists, engineers, their lawyers, agents and business partners. Broadly, the project involves the collecting and analysis of these interviews to understand how and why the interviewees create and innovate and to make sense of the intersection between intellectual property law and creative and innovative activity from the ground up. This chapter specifically investigates the concept of “progress” as discussed in the interviews. “Promoting progress” is the ostensible goal of the intellectual property protection in the United States, but what …
Is Ip Law Modernization Possible? Assessing Approaches In Acta, Sopa, And Bill C-11, Lauren Gray Farrar
Is Ip Law Modernization Possible? Assessing Approaches In Acta, Sopa, And Bill C-11, Lauren Gray Farrar
Georgia Journal of International & Comparative Law
No abstract provided.
Machine Learning And Law, Harry Surden
Machine Learning And Law, Harry Surden
Publications
This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing …