Data Security in Precision Agriculture: How Machine Learning Will Exacerbate the Privacy Risks of Farming
Anna Johnson As precision agriculture technology advances, privacy concerns plague farmers who fear that their agricultural data could be exploited by data processors. Despite these concerns, the federal government has failed to enact agricultural data protection laws. With the rise of machine learning (ML), federal and state legislators should act urgently to prohibit AI-driven, farming data misuse. Since data security threats in agriculture can disrupt the stability of the commodities market, a coordinated, industry-specific approach ensuring the privacy of agricultural data must be taken. This paper analyzes the privacy risks created by ML in precision agriculture and proposes legislative and...
Gut Check: The Future of False & Misleading Claims Amidst the Poppi Class Action
Hannah Niemczyk Innovation in the food and beverage landscape has increased significantly in recent years, contributing to a flourishing marketplace that is excitingly diverse but deceptive to the unsuspecting public. Consumers have more variety than ever at the supermarket, so factors such as health and wellness may determine what makes the cut at checkout. Meanwhile, brands curate advertisements to edge out the competition, often capitalizing on market trends and overpromising on label claims. To achieve holistic consumer protection, this Article explores false and misleading gut health claims considering the Summer 2024 class action involving the popular prebiotic beverage brand “Poppi”...