Year: 2025
Type: conference-paper
Abstract: Value chains for AI systems are becoming increasingly complex and can consists of multiple actors that contribute services, tools, data, models and code. An efficient risk management along this value chain requires all actors to communicate potential risk sources and recommendations for mitigation. The Software Bill of Materials (SBOM) is a method from cybersecurity, that enables organizations to communicate information like licences, security vulnerabilities and dependencies of software components. SBOM raises increasing interest in the AI community to share information about AI components, like data and models. In this paper we discuss the suitability of SBOM for AI risk management along a value chain and show the potential but also gaps in current approaches.
Authors: Lennard Helmer, Lisa Fink, Maximilian Poretschkin
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7106484220
FWCI:
Cites:
Cited by:
Related to: