Law Commons^™

Maintaining Competition In Copying: Narrowing The Scope Of Gene Patents, Oskar Liivak

Oskar Liivak

In supporting gene patents, the patent office, the courts and other supporters have assumed that gene discoveries are identical to traditional inventions and therefore the patent system should treat them as identical. In other words, they have assumed that the relatively broad claims that are used for traditional inventions are also appropriate for encouraging gene discovery. This article examines this assumption and finds that gene discoveries are critically different from traditional inventions and concludes that the patent system cannot treat them as identical.

As a doctrinal matter, this article applies the generally overlooked constitutional requirements of inventorship and originality and …

Federalist Society’S Intellectual Property Practice Group And Its Stanford Law School Present A Debate On Open Source And Intellectual Property Rights, Lawrence Lessig, F. Scott Kieff, G. Marcus Cole

University of Massachusetts Law Review

Transcript of the Federalist Society’s Intellectual Property Practice Group and its Stanford Law School Chapter debate on Open Source and Intellectual Property Rights with panelists Professor Lawrence Lessig from Stanford University and Professor F. Scott Kieff from Stanford University and moderated by Professor G. Marcus Cole from Stanford Law School. This debate took place on Wednesday, March 30, 2005 in Palo Alto, California.

The Google Art Project: An Analysis From A Legal And Social Perspective On Copyright Implications, Katrina Wu

Katrina Wu

The Google Art Project is an ambitious attempt by Google to curate worldwide artwork online in the highest resolution possible. Google accomplishes this by partnering with museums where museums provide access to art collections and Google provides the technology to capture high quality images. Under this existing model, Google places the burden of copyright clearances on museums and removes images from online if requested by copyright owners. An endeavor like the Google Art Project is not unprecedented however, when Google attempted to put the world’s books online under the Google Books Project, scanning millions of titles and offering snippets for …

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 …

The Evolution Of The Digital Millennium Copyright Act; Changing Interpretations Of The Dmca And Future Implications For Copyright Holders, Hillary A. Henderson

Hillary A Henderson

Copyright law rewards an artificial monopoly to individual authors for their creations. This reward is based on the belief that, by granting authors the exclusive right to reproduce their works, they receive an incentive and means to create, which in turn advances the welfare of the general public by “promoting the progress of science and useful arts.” Copyright protection subsists . . . in original works of authorship fixed in any tangible medium of expression, now known or later developed, from which they can be perceived, reproduced, or otherwise communicated, either directly or with the aid of a machine or …

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 …

Copyright’S Private Ordering And The 'Next Great Copyright Act', Jennifer E. Rothman

All Faculty Scholarship

Private ordering plays a significant role in the application of intellectual property laws, especially in the context of copyright law. In this Article, I highlight some of the dominant modes of private ordering and consider what formal copyright law should do, if anything, to engage with private ordering in the copyright space. I conclude that there is not one single approach that copyright law should take with regard to private ordering, but instead several different approaches. In some instances, the best option is for the law to get out of the way and simply continue to provide room for various …

Toward A Closer Integration Of Law And Computer Science, Christopher S. Yoo

All Faculty Scholarship

Legal issues increasingly arise in increasingly complex technological contexts. Prominent recent examples include the Stop Online Piracy Act (SOPA) and the Protect Intellectual Property Act (PIPA), network neutrality, the increasing availability of location information, and the NSA’s surveillance program. Other emerging issues include data privacy, online video distribution, patent policy, and spectrum policy. In short, the rapid rate of technological change has increasingly shown that law and engineering can no longer remain compartmentalized into separate spheres. The logical response would be to embed the interaction between law and policy deeper into the fabric of both fields. An essential step would …