Building an Open AIBOM Standard in the Wild: An Experience Report on Extending the SPDX SBOM (ISO/IEC 5962:2021) for AI Supply Chains
Modern software engineering increasingly depends on open, community-driven standards, yet how such standards are created in fast-evolving domains like AI-powered System (AI systems) remains underexplored. This paper presents a detailed experience report on the development of the AI Bill of Materials (AIBOM), an extension of the SPDX Software Bill of Materials (SBOM)—an ISO/IEC 5962:2021 standard, that captures AI-specific components such as datasets, models, and iterative training artifacts. Framed through the lens of Action Research (AR), we document a global, multi-stakeholder effort involving over 90 contributors and structured AR cycles. The resulting specification was validated through four complementary approaches: alignment with major regulatory and ethical regulations and standards (e.g., EU AI Act and IEEE 7000 standards), systematic mapping to six industry use cases, semi-structured practitioner interviews, and an industrial case study. Beyond delivering a validated artifact, our paper documents the process of building AIBOM “in the wild,” and reflects on how it aligns with the AR research cycle, and distills lessons that can inform future standardisation efforts in the software engineering community.
Wed 15 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
11:00 - 12:30 | Software Engineering for AI 1Research Track / SE in Society (SEIS) / SE In Practice (SEIP) at Oceania VII Chair(s): Sira Vegas Universidad Politecnica de Madrid | ||
11:00 15mTalk | Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software Research Track Ying Xiao , Shangwen Wang National University of Defense Technology, Sicen Liu Southern University of Science and Technology, Dingyuan Xue Southern University of Science and Technology, Xian Zhan Southern University of Science and Technology, Yepang Liu Southern University of Science and Technology, Jie M. Zhang King's College London | ||
11:15 15mTalk | TACO: Trust Assessment of Large Language Models in Coding Assistance Tasks Research Track Shihao Weng Nanjing University, Yang Feng Nanjing University, Jincheng Li Nanjing University, Yining Yin Nanjing University, Zhenlun Zhang Nanjing University, Lyuxi Liu University of Virginia, Jia Liu Nanjing University | ||
11:30 15mTalk | Toward Systematic Counterfactual Fairness Evaluation of Large Language Models: The CAFFE Framework Research Track Alessandra Parziale Gran Sasso Science Institute, Gianmario Voria University of Salerno, Valeria Pontillo Gran Sasso Science Institute, Gemma Catolino University of Salerno, Andrea De Lucia University of Salerno, Fabio Palomba University of Salerno | ||
11:45 15mTalk | Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing Research Track Vishnu Asutosh Dasu Pennsylvania State University, Md Rafi Ur Rashid Pennsylvania State University, Vipul Gupta Pennsylvania State University, Saeid Tizpaz-Niari University of Illinois Chicago, Gang (Gary) Tan Pennsylvania State University | ||
12:00 15mTalk | Building an Open AIBOM Standard in the Wild: An Experience Report on Extending the SPDX SBOM (ISO/IEC 5962:2021) for AI Supply Chains SE In Practice (SEIP) Gopi Krishnan Rajbahadur , Keheliya Gallaba Centre for Software Excellence, Huawei Canada, Elyas Rashno Queen's University, Arthit Suriyawongkul ADAPT Centre, Trinity College Dublin, Karen Bennet IEEE, Kate Stewart Linux Foundation, Ahmed E. Hassan Queen’s University Pre-print | ||
12:15 15mTalk | Data-Dependent Goal modeling for ML-Enabled Law Enforcement Systems SE in Society (SEIS) Dalal Alrajeh Imperial College London, Vesna Nowack Imperial College London, Patrick Benjamin University of Oxford, Katie Thomas University of Bath, William Hobson University of Bath, Carolina Gutierrez Munoz University of Bath, Catherine Hamilton-Giachritsis University of Bath, Juliane Kloess University of Edinburgh, Jessica Woodhams University of Birmingham, Daniel Butler Independent researcher, Mark Law ILASP, Ralph Morton Aston University, Benjamin Costello University of Birmingham, Amy Burrell University of Birmingham, Tim Grant Aston University, Prachiben Shah University of Birmingham, Frances Laureano de Leon University of Birmingham, Mark Lee University of Birmingham | ||