As vehicles become software‑defined, artificial intelligence is increasingly embedded in the automotive engineering lifecycle – supporting code generation, requirements analysis, verification, and release decisions. While AI accelerates development, it also introduces new challenges around traceability, accountability, and safety‑critical compliance.

In this session, Kamal Khan of Perforce Software explores how automotive OEMs and Tier 1 suppliers can safely operationalize AI at SDV scale.

What you’ll learn:

• The role of an integrated backbone – spanning version control, IP lifecycle management, application lifecycle management, and program planning – in governing AI-driven development
• Approaches to preserving traceability, auditability, and human accountability across requirements, code, and validation in AI-assisted processes
• Best practices for aligning AI usage with compliance standards such as ASPICE and ISO 26262