The Virginia House of Delegates introduced Bill HB747 on November 18, 2024, aimed at regulating the deployment of high-risk artificial intelligence (AI) systems. This legislation seeks to address the growing concerns surrounding algorithmic discrimination and the ethical implications of AI in decision-making processes.

The bill mandates that any entity deploying high-risk AI systems must implement a risk management policy that aligns with recognized frameworks, such as the National Institute of Standards and Technology's Artificial Intelligence Risk Management Framework. This policy must consider factors like the size of the deployer, the complexity of the AI system, and the sensitivity of the data involved.

A key provision of HB747 requires deployers to conduct an impact assessment before the initial deployment of any high-risk AI system and within 90 days of significant updates. These assessments must disclose the intended use of the AI system, potential risks of algorithmic discrimination, and measures taken to mitigate such risks. Additionally, the assessments must detail the types of data processed and any transparency measures implemented to inform consumers about the AI's usage.

The bill has sparked notable debates among stakeholders. Proponents argue that it is a necessary step to ensure accountability and transparency in AI deployment, protecting consumers from potential biases and discrimination. Critics, however, express concerns about the burden of compliance on businesses, particularly smaller entities that may lack the resources to conduct comprehensive assessments.

The implications of HB747 extend beyond regulatory compliance; it reflects a broader societal push towards ethical AI practices. Experts suggest that if passed, the bill could set a precedent for similar legislation in other states, influencing how AI technologies are developed and utilized across the nation.

As the legislative process unfolds, the future of HB747 remains uncertain, with discussions expected to continue in the coming weeks. The outcome could significantly shape the landscape of AI governance in Virginia and potentially serve as a model for national standards.