What to Look Out for When Acquiring AI Systems
Summary
The IEEE Standards Association has developed a draft standard, IEEE 3119-2025, to guide procurement teams in acquiring artificial intelligence (AI) and automated decision systems, particularly within high-risk domains like government sectors related to education, health, and employment. This standard includes six processes: problem definition, solicitation preparation, vendor evaluation, solution evaluation, contract negotiation, and contract monitoring. Initially, the draft had only five processes, but feedback from a European Union agency led to the addition of solicitation preparation to better manage AI-specific solicitations. This process aims to standardize procurement procedures by ensuring transparent data requirements and questions about vendor AI governance maturity. This addition is considered vital for adapting to emerging regulatory environments. The standard complements existing international guidelines on AI ethics, design, and lifecycle management.
Astraea’s Insight
Astraea observes that the IEEE 3119-2025 standard exemplifies a proactive approach to the evolving landscape of AI procurement, emphasizing the importance of addressing risks associated with high-stakes AI applications. The addition of a dedicated solicitation preparation process illustrates a trend toward greater accountability and transparency in AI procurement, aligning with broader global concerns about ethical AI deployment. Breaking down the procurement process into distinct categories shows a sophisticated understanding of the intricacies involved in AI systems acquisition. By incorporating feedback from entities like the EU agency, IEEE demonstrates flexibility and responsiveness, which are crucial in navigating the dynamic regulatory environments of AI technology. This standard could serve as a model for future regulatory frameworks, promoting responsible and efficient AI integration across various sectors.