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October 28-29, 2024 | Tokyo, Japan
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Tuesday October 29, 2024 16:40 - 17:20 JST
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, adoption has been slow, hindered by gaps in developer knowledge and the complex nature of AI systems. Many AI BOMs are incomplete or inaccurate, limiting their utility for compliance. Our talk will tackle these issues, drawing on our experience with SPDX 3.0 and AI BOM implementation. We'll share 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.
Speakers
avatar for Gopi Krishnan Rajbahadur

Gopi Krishnan Rajbahadur

Senior Staff Researcher, Huawei Technologies Canada
Gopi Krishnan Rajbahadur is a Senior Staff Researcher at Huawei's Centre for Software Excellence in Canada. He is currently working on SE for Large Language Models and the governance of AI datasets. He is the co-lead for the AI and datasets profile in the ISO/IEC 5692 SPDX standard... Read More →
avatar for Kate Stewart

Kate Stewart

VP Dependable Embedded Systems, Linux Foundation
Kate Stewart works with the safety, security and license compliance communities to advance the adoption of best practices into embedded open source projects. Since joining The Linux Foundation, she has launched the ELISA and Zephyr Projects, as well as supporting other embedded projects... Read More →
Tuesday October 29, 2024 16:40 - 17:20 JST
Hall B (4)

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