Virginia House Bill HB249

Virginia 2024 Regular Session

• Introduced: 1/4/24
• Refer: 1/4/24

Caption

Law-enforcement agencies; use of generative artificial intelligence and machine learning systems.

Impact

The proposed legislation is expected to impact various statutes surrounding law enforcement operations, particularly concerning the integration of new technology into traditional policing methods. By mandating training and establishing policies associated with the use of generative AI, HB249 seeks to enhance the professionalism and accountability of law enforcement officers in the Commonwealth. It aims to improve transparency in police practices, particularly regarding data handling and evidence processed through advanced technological means, thus potentially reshaping how law enforcement interacts with community members.

Summary

House Bill 249 aims to establish comprehensive guidelines and standards for the use of generative artificial intelligence (AI) and machine learning systems by law-enforcement agencies in Virginia. This legislative initiative focuses on creating a framework to guide how these advanced technologies can be integrated effectively while ensuring that law enforcement practices align with ethical considerations and legal standards. Central to this bill is the requirement for law enforcement personnel to receive compulsory training on the implementation and application of generative AI and machine learning tools, emphasizing the responsible use of technology in policing.

Contention

Notably, there may be points of contention surrounding the implementation of the bill, particularly regarding concerns over privacy and civil liberties. Critics could argue that the use of AI in law enforcement may lead to increased surveillance and potential misuse of personal data. There are also concerns about the effectiveness of training programs and whether they will adequately prepare law enforcement officers to use these technologies sensibly and ethically. Furthermore, there may be debates concerning the prioritization of funding and resources for training on AI and machine learning versus other pressing law enforcement needs.