Coding Safe Autonomy through
Natural Language
24 June 2025 | 2 p.m. CEST | online
Deontic revolutionizes autonomous engineering with generative AI workflows and intelligent agents that accelerate validation for ADAS and self-driving systems. The LLM platform automates requirements management, scenario generation and simulation setup across diverse Operational Design Domains (ODDs), dramatically cutting development time, cost, and complexity.
AGENDA
24 June 2025 | online
2:00 PM CEST
Welcome & Introduction
Alexander F. Walser | ASCS e.V.
2:05 PM
Coding Safe Autonomy through Natural Language
Stephen Lernout | Co-founder & CEO Deontic
2:45 PM
Q&A
Ask the speaker
3:00 PM
End
SPEAKER
Stephen Lernout is a serial entrepreneur with an extensive background in Technology Sales and Marketing. Before co-founding Deontic, he was responsible for strategy & innovation at several language technology companies like Miia and Nalantis. He is focused on building effective business models in the computational linguistics, natural language processing and GenAI space.
TARGET AUDIENCE
- ADAS and autonomous vehicle engineers
- Requirements and systems engineers
- Simulation and scenario engineers
- R&D and innovation leads
- AI and machine learning practitioners in automotive
- Functional safety and validation experts
- Researchers
KEY TAKEAWAYS
- How generative AI and natural language processing revolutionize autonomous vehicle engineering
- Automation of requirements management, scenario generation, and simulation setup using a Large Language Model (LLM) platform
- Significant reduction in development time, cost, and complexity for ADAS and self-driving system validation
- Accelerated validation workflows across diverse Operational Design Domains (ODDs)
- Integration of intelligent agents to enhance safety and compliance in autonomous system development
- Practical insights into applying AI-driven tools to improve safety assurance and functional validation processes
