By: Titus R. Willis The legal community is rapidly evolving: firms are more beholden to clients than ever, associates are growing more competitive with one another, and younger firm employees are more willing than ever to subject themselves to surveillance from their employers. These evolutions come alongside a boom in surveillance technology. Tech companies now provide services that can track every keystroke a lawyer makes on a company computer, analyze the content of their computer screens, or even develop algorithms to measure employee productivity. How does the modern law firm respond to these new technologies? How do they weigh their obligations to clients with the privacy considerations of their employees? This Note examines these key questions and makes a comment about the honor of the legal profession along the way. Download Full Article (PDF) Cite: 19 Duke L. & Tech. Rev. 75
Month: March 2021
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