As global regulations on AI software tighten, developers face a complex set of new, ambiguous rules. The AI Software Bill of Materials (AI BOM), especially the new SPDX 3.0 with AI and dataset profiles, offers a promising solution for compliance, providing detailed, machine-readable documentation of AI systems. Despite its benefits, AI BOM adoption has been slow, hindered by gaps in devoloper knowledge and the complex nature of AI systems. Many AI BOMs are incomplete or inaccurate, limiting their utility for compliance. A new Linux FoundationResearch White Paper discusses these issues, drawing on industry experts’ experience with SPDX 3.0 and AI BOM implementation.
The paper shares best practices and strategies to improve AI BOM accuracy and utility, equipping professionals with the insights to ensure their AI applications are compliant and prepared for future regulations. Anyone interested in creating a comprehensive AI and Dataset Bill of Materials can learn more by reading “Implementing AI Bill of Materials (AI BOM) with SPDX 3.0“
