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...
Fragmented Data Privacy Laws: Time for Federal Legislation
Lydia Rudden Federal data privacy legislation is necessary to safeguard consumer data against privacy breaches by tech companies with increasingly intrusive data practices. In 2018, California pioneered its own comprehensive data privacy legislation, the California Consumer Privacy Act (CCPA). Currently, with nearly half of U.S. states in the process of formulating their own digital privacy laws, businesses are struggling to maintain compliance, causing financial difficulties and harming innovation. Piecemeal state legislation also leaves consumers with disparate protection depending on where they live. Without a comprehensive and uniform federal law, Big Tech lobbyists shift their focus to securing industry-friendly regulations from...