By: Vincent Calderon Artificial intelligence holds the capacity to revolutionize the economy by capturing efficiencies. These benefits, ostensibly, should pass down to consumers, thereby benefitting the general public. But the immense complexity of AI systems is bound to introduce legal hurdles for plaintiffs and frustrate our disparate impact jurisprudence. Specifically, demonstrating causation and proffering a less discriminatory alternative are herculean tasks for a plaintiff seeking to prove a disparate impact upon which legal relief may be granted. The courts have already begun to wrestle with these issues, primarily in the housing and employment sectors. With the rapid surge of AI systems, courts should expect further inquiry into how these programs interfere with our established antidiscrimination framework. This Note outlines how each step of a plaintiff’s successful disparate impact analysis is hindered by the opaque ways in which AI operates. This Note then proposes several policy reforms to mitigate these consequences. Download Full Article (PDF) Cite: 24 Duke L. & Tech. Rev. 28
Category: Surveillance Tech
A Fresh Start: Surveillance Tech and the Modern Law Firm
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