UC Law Science and Technology Journal

??New Insights on Trade Secret Protection.?? ? In “Standards in Assessing Notice of Reasonable Security Measures in Trade Secret Law,” Tazeen Hussain delves into the constantly changing landscape of trade secret law. In the past, courts have switched between subjective and objective standards in determining reasonable security measures for trade secrets, thus Hussain proposes a more uniform approach. The author suggests that in a situation where the defendant argues they were unaware that such information is a trade secret, courts can set a consistent precedent by asking whether a reasonable person would recognize the information as confidential based on the security protocols in place. The UC Law Science and Technology Journal features Hussain’s analysis of the complexities of reasonable trade secret protection in this area of law. ? Read more here: https://lnkd.in/gCmnyfrN ? #TradeSecrets #IPLaw #TechLaw #TradeSecretProtection

“Opt Out or Pipe Down, You Traded Your Data Away: Balancing Computer Crime Prevention, Third-Party Data, and Individual Rights.” ? Ken Sterling, Esq., MBA's article delves into the legal challenges that government access to third-party user data poses in cybercrime investigations. With most individuals agreeing that the government should be able to use third-party data to prevent cybercrime, provided that the data is obtained with informed consent, the question then turns into one of “where to draw the line?” This article provides some important guidelines, such as the balancing act of privacy rights with public safety, and proposes that the government can utilize AI technology to ethically obtain third-party data in cybercrime investigations without issuing search warrants.? ? The UC Law Science and Technology Journal featured these research findings in its Volume 15, Issue 2 publication.?Read more here: https://lnkd.in/gFTKkaTq ? #SecurityandPrivacyLaw #Cybercrime #AI

??Is AI subject to the tragedy of the anticommons??? ? Shelby Ponton's groundbreaking article “The Tragedy of the AI Anticommons,” featured in Vol. 15, Issue 2 of the UC Law Science and Technology Journal, grapples with the looming threat of patent disputes and copyright claims on AI innovation. If millions of rightsholders battle for the right of exclusion to the same resource, the legal issues can cause the resource, such as AI, to become subject to the tragedy of the anticommons—increased costs, underutilization, and the stifling of innovation. Ponton points out that many generative AI models are trained using copyrighted material, so if that use is deemed unfair, it may be the end of AI as we know it. The article proposes innovative solutions like legislative compulsory licensing and incorporating bankruptcy law principles that could prevent this AI anticommons tragedy.? ? Read more about the AI Anticommons here: https://lnkd.in/gjCVE2H9 ? #AI #IntellectualProperty #Anticommons #CopyrightLaw #TechPolicy

?? A new perspective into Amazon’s use of algorithms to leverage attention and profit. ?? In Volume 15, Issue 2, the UC Law Science and Technology Journal features the article “Amazon’s Algorithmic Rents: The Economics of Information of Amazon” by Ilan Strauss, Tim O'Reilly, and Mariana Mazzucato. The authors analyze how Amazon’s $37.7bn advertising business exploits the third-party merchant ecosystem?for profits. The authors explain how Amazon’s algorithms prioritize paid advertising over organic results, compelling merchants to pay for visibility. This practice influences consumer behavior, distorts the online marketplace, and raises concerns about fair competition and potential antitrust implications. Read more about how online markets can exploit users through their algorithms and the need for stronger digital antitrust approaches here: https://lnkd.in/eWJVJ5cU #Antitrust #TechLaw #Amazon #DigitalEconomy