On January 20, 2025, China sent shockwaves through the tech industry when it launched its very own artificial intelligence model—DeepSeek. (Ben Cohen, The Wall Street Journal). DeepSeek is an open-source AI model that its backers claim is more cost-effective than its rivals, including the U.S.’s OpenAI. (Forbes). According to reports, DeepSeek’s founder Liang Wenfreng developed the AI model with just $1.4 million in capital. (Ty Roush, Forbes). Meanwhile, DeepSeek’s largest rival, OpenAI, cost more than $100 million to develop, according to its CEO Sam Altman. (Katharina Buchholz, Forbes). The disparity between these figures and the drop in U.S. tech stocks has sparked fears among leading tech companies in the U.S. that Chinese outfits will soon overtake them. (Brian Cheung et al., NBC News). However, this article explores why the development of DeepSeek may very well be beneficial to America’s dominance in the AI realm, should U.S. tech companies be up for the challenge.
Read MoreAutomated digital investment advisory programs, often referred to as “robo-advisers”, have grown in popularity over the last decade since their initial introduction in 2008. (SEC; Investopedia). As a digital financial adviser, a robo-adviser manages investments with minimal human intervention. (Milan Ganatra, Aashika Jain, Forbes). Robo-advisers provide automated investment portfolios based on the investor’s imputed preferences, risks, and goals by using advanced algorithms that analyze investor information. (Id.; Charles Schwab). While this technology is a considerable advancement and is accurate most of the time, it is not without its drawbacks and risks…
Read MoreThe rise of artificial intelligence (“A.I.”) and automated decision-making tools in making consumer-facing decisions led federal regulators, such as those at the Federal Trade Commission (“FTC”), to identify bias in algorithms along with deceptive and manipulative conduct on the internet among their top regulatory priorities moving forward. (Ali Arain, et. al., Bloomberg Law). In particular, regulators seek to identify whether A.I. and algorithms exclude specific consumer groups in an unfair and discriminatory manner, whether data collection efforts accurately reflect real-world facts, and whether automated decision-making tools are used in a transparent manner. Id. The extent to which A.I. replicates human bias and what, if anything can be done about that, is a question regulators will need to grapple with in the coming years…
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