It may be difficult for the U.S. to maintain its position as a world leader in artificial intelligence without modernizing its intellectual property system and strengthening its national security strategy.
FREMONT, CA: The U.S. government frequently deploys cutting-edge technologies that directly affect the American public. For instance, the U.S. Department of Homeland Security (DHS) has recently deployed face-recognition technology, fifth-generation network technology, counter–unmanned aircraft systems, and chemical and biological detection technologies incorporating artificial intelligence (AI) and machine learning. There are risks associated with using such technologies, as well as a variety of potential benefits.
Public perception is an essential factor that can aid in identifying the risks and benefits of technology use and can inform multiple phases of the acquisition and deployment of technology. This lack of public trust has consequences for homeland security. Public perception could impact the Department of Homeland Security’s implementation of emerging technologies.
Numerous influential parties, including members of Congress, technology companies, state and local governments, and civil liberties advocates, have raised concerns about the Department of Homeland Security’s use of emerging technology. However, it is unclear to what extent the public shares these concerns or supports DHS use.
Here are some suggestions for how the United States can take the lead in AI:
Modernize the system of intellectual property: The U.S. intellectual property system is essential for ensuring technological advancement, but it must be updated to accommodate emerging technologies such as artificial intelligence. Congress has not revisited Section 101, the patentable subject matter section of the patent code, since 1793.
The patent code that was established was fantastic, but they did not foresee DNA processing, artificial intelligence, cryptography, software code, and all of the modern technologies of the next industrial revolution. Therefore, it would be an understatement to say that the patent system requires modernization, at least from this perspective. It is an essential and immediate matter of national security.
In pursuing the modernization of the IP system, Iancu identified two crucial questions that must be addressed: 1) Should AI algorithms be patentable? And 2) should a patent be granted for an AI algorithm that innovates and creates new things? These issues must be resolved for IP to catch up to AI and for the United States to maintain its global AI leadership position.
Keeping the United States at the vanguard of emerging technologies is a priority for the USPTO, which recently convened a partnership on artificial intelligence and emerging technologies and published a patent study on AI’s growth.
Win the talent competition: Maintaining AI leadership over the long term necessitates winning the global talent war and cultivating new talent at home. National security depends on the ability to attract, develop, and retain technical talent; everything else is mainly irrelevant without these talent pools. The United States needs bipartisan immigration reform that prioritizes incentives for foreign talent to attend school, conduct research, work here, and ultimately become U.S. citizens.