Law Commons^™

The Need For An International Ai Research Initiative: How To Create And Sustain A Virtuous Research-Regulation Cycle To Govern Ai, Kevin Frazier

Washington Journal of Law, Technology & Arts

This paper explains the need for an international AI research initiative. The current focus of lawmakers at the subnational, national, and international level on regulation over research has created an imbalance, neglecting the critical role of continuous, informed research in developing laws that keep pace with rapid technological advancements in AI.

The proposed international AI research initiative would serve as a central hub for comprehensive AI risk analysis, modeled on successful precedents like CERN and the IPCC. CERN exemplifies a collaborative research environment with pooled resources from member states, leading to significant advancements in particle physics. Similarly, the IPCC has …

Commercializing Cannabis: Confronting The Challenges And Uncertainty Of Trademark And Trade Secret Protection For Cannabis-Related Businesses, John Mixon

Washington Journal of Law, Technology & Arts

Over the last couple of decades, society has become more accepting of recreational cannabis and an ever-growing number of states have passed pro-cannabis legislation. With this change, the cannabis industry has, to some extent, exploded into a booming enterprise in states that have legalized marijuana. Nonetheless, cannabis' status as a Schedule I banned substance under the Controlled Substances Act of 1970 remains unchanged. As a result, businesses in the cannabis industry face the unique challenge of having to toe the line between "legally" operating under state law and violating federal law, which trumps state law. One particular situation in which …

Blame It On The Machine: A Socio-Legal Analysis Of Liability In An Ai World, Michael Callier, Harly Callier

Washington Journal of Law, Technology & Arts

As technology continues to evolve, interactions between humans and artificial intelligence (“AI”) will skyrocket. It is important to understand the impact AI can have on society, as well as the potential harm and subsequent liability that could result, and to develop best practices designed to address them. The U.S. needs a comprehensive framework to govern the design, creation, use and risks associated with AI. At the time of this writing, no such framework has been implemented. This article takes a socio-legal, interdisciplinary approach to explore ideas on socio-ethical concerns and theories of liability related to AI, and applies a sociological …

Everyone Wants To See The Entire History Of You, Caesar Kalinowski Iv

Washington Journal of Law, Technology & Arts

Starting with heavy, immobile cameras and progressing to immediately shareable, discreet cellphone videos, the last century has expanded our ability to record ourselves and others—whenever and wherever—to formerly unfathomable heights. Black Mirror, a technology-based, sci-fi miniseries now produced by digital entertainment giant, Netflix, tracks this trajectory to its logical end in “The Entire History of You.” In this not-so-distant, sci-fi future where Google Glass is replaced by an “Augmented Reality Contact Lens and Grain,” everything we see and hear is immediately recorded and uploaded. Effectively, we no longer need memories to recall the past. But as with all new technologies, …

How Machines Learn: Where Do Companies Get Data For Machine Learning And What Licenses Do They Need?, Rachel Wilka, Rachel Landy, Scott A. Mckinney

Washington Journal of Law, Technology & Arts

Machine learning services ingest customer data in order to provide refined, customized services. Machine learning algorithms are increasingly prominent in multiple sectors within the software-as-a-service industry including online advertising, health diagnostics, and travel. However, very little has been written on the rights a company utilizing machine learning needs to obtain in order to use customer data to improve its own products or services. Machine learning encompasses multiple types of data use and analysis, including (a) supervised machine learning algorithms, which take specific data provided in a tagged and classified format to deliver specific predictable output; and (b) unsupervised machine learning …

The State Department Can Gun Down 3-D Printed Firearms, Derk Westermeyer

Washington Journal of Law, Technology & Arts

In 1976, Congress enacted the Arms Export Control Act (“AECA”), giving the President broad power to control imports and exports of defense articles. At the time, defense articles included any “technical data” relating to weapons, such as the manufacturing blueprints of a firearm. Generally, this technical data was only in the hands of weapon manufacturers. After forty years of technological advances, however, this “technical data” can now be accessed by anyone in the world in a matter of seconds. Thanks to 3-D printing, a person can use this data to personally manufacture a fully functional plastic weapon within a few …

Can Siri 10.0 Buy Your Home? The Legal And Policy Based Implications Of Artificial Intelligent Robots Owning Real Property, David Marc Rothenberg

Washington Journal of Law, Technology & Arts

This Article addresses whether strong artificial intelligent robots (“AI”) should receive real property rights. More than a resource, real property promotes self-respect to natural persons such as human beings. Because of this distinction, this Article argues for limited real property rights for AIs. In developing this proposition, it examines three hypotheticals of a strong AI robot in various forms of real property ownership. The first hypothetical determines whether an AI could work as an agent in real property transactions. As robots currently act as agents in various capacities, the groundwork exists for an AI to enter this role. The second …

Drone Drain: How The Faa Can Avoid Draining (And Instead Spur) The American Drone Industry By Adding Nuance To Its Draft Small Uas Rules, Brooks Lindsay

Washington Journal of Law, Technology & Arts

The Federal Aviation Administration has done much right in the past few months with its draft small UAS rules, but should add nuance to the draft to avoid draining America’s nascent drone industry. This Article, which was submitted as an official comment to the FAA by the University of Washington’s world-renowned College of Engineering, recommends five essential modifications to enable American competitiveness in this field. First, the FAA should maintain the line-of-sight requirement as a baseline, but allow uses beyond line-of-sight for pilots and aircraft certified to fly with First-Person View or autonomous technology. Second, the FAA should create exceptions …