Law Commons^™

The Power Of Local: Nearby Innovators Dominate Patented Technology Development, Richard Gruner

Northwestern Journal of Technology and Intellectual Property

Advances by nearby innovators – close enough to interact in person – play key roles in patented technology development. Patents frequently cite nearby innovations, identifying these local innovations as the background for further patented inventions. Such citations reveal narrow geographic areas with intensely active innovation communities advancing similar projects and technologies. Local innovators – working within a commutable distance of 40 miles or less of each other – accounted for 25 percent of all patent citations between 2010 and 2019 and about 21 percent of citations by disinterested patent examiners reviewing patent applications. These percentages of citations to local advances …

Law Informs Code: A Legal Informatics Approach To Aligning Artificial Intelligence With Humans, John J. Nay

Northwestern Journal of Technology and Intellectual Property

Artificial Intelligence (AI) capabilities are rapidly advancing. Highly capable AI could cause radically different futures depending on how it is developed and deployed. We are unable to specify human goals and societal values in a way that reliably directs AI behavior. Specifying the desirability (value) of AI taking a particular action in a particular state of the world is unwieldy beyond a very limited set of state-action-values. The purpose of machine learning is to train on a subset of states and have the resulting agent generalize an ability to choose high value actions in unencountered circumstances. Inevitably, the function ascribing …

The Evidentiary Implications Of Interpreting Black-Box Algorithms, Varun Bhatnagar

Northwestern Journal of Technology and Intellectual Property

Biased black-box algorithms have drawn increasing levels of scrutiny from the public. This is especially true for those black-box algorithms with the potential to negatively affect protected or vulnerable populations.1 One type of these black-box algorithms, a neural network, is both opaque and capable of high accuracy. However, neural networks do not provide insights into the relative importance, underlying relationships, structures of the predictors or covariates with the modelled outcomes.2 There are methods to combat a neural network’s lack of transparency: globally or locally interpretable post-hoc explanatory models.3 However, the threat of such measures usually does not bar an actor …

Compulsory Licensing: A Potential Solution To The Antitrust Dilemma Of Technology Standards Setting, Shen Peng

Northwestern Journal of Technology and Intellectual Property

The Constitution grants patent owners exclusive rights over their inventions to “promote the Progress of Science.”1 This clause was drafted based on the belief that monetary incentives granted to the first inventor, such as the proceeds from selling and licensing the invention, will foster new ideas and accelerate innovation to the benefit of the public welfare. However, when the first inventor is the sole benefactor of the rewards from the innovation, subsequent innovation may be stifled.

For instance, the first person to invent the idea of a mobile phone but lacking the right to use the underlying technologies essential to …

A Loaded God Complex: The Unconstitutionality Of The Executive Branch’S Unilaterally Withholding Zero-Days, Brendan Gilligan

Northwestern Journal of Technology and Intellectual Property

No abstract provided.