Causation and Conception in American Inventorship

By: Dan L. Burk Increasing use of machine learning or “artificial intelligence” (AI) software systems in technical innovation has led some to speculate that perhaps machines might be considered inventors under patent law. While U.S. patent doctrine decisively precludes such a bizarre and counterproductive result, the speculation leads to a more fruitful inquiry about the role of causation in the law of inventorship. U.S. law has almost entirely disregarded causation in determining inventorship, with very few exceptions, some of which are surprising. In this essay, I examine those exceptions to inventive causality, the role they play in determining inventorship, and their effect in excluding consideration of mechanical inventors under current law. Download Full Article (PDF) Cite: 20 Duke L. & Tech. Rev. 116

Keeping Up With China: CFIUS and the Need to Secure Material Nonpublic Technical Knowledge of AI/ML

By: Anthony Severin Artificial intelligence (AI) and machine learning (ML) technologies will shape societies by the values they are programmed to respect. In part because of anti-competitive Chinese practices such as forced transfers of intellectual property (IP), companies based in the U.S. have lost the ability to compete in several fields. To avoid losing competitiveness in AI/ML sectors, the Committee on Foreign Investment in the United States (CFIUS) should promulgate rules blocking Chinese investors from acquiring ownership interests in U.S. companies when that ownership would allow access to material nonpublic technical knowledge of AI/ML. Such a categorical blacklist approach will limit forced transfers of IP and increase the influence of American values on the development of AI/ML technology. Download Full Article (PDF) Cite: 19 Duke L. & Tech. Rev. 59