Abstract

Ensuring vehicular safety and reliability in autonomous vehicles requires comprehensive hazard analysis and risk assessment (HARA). Traditional HARA processes are often labor-intensive
and prone to human error, necessitating a more advanced solution. This white paper introduces our cutting-edge software, GenAuto HARA, which leverages generative artificial intelligence (AI) to revolutionize HARA for autonomous driving safety analysis. By harnessing generative AI’s predictive modeling and data generation capabilities, our software automates the
most demanding aspects of HARA, significantly speeding up the process and enhancing the
precision of safety evaluations. This results in remarkable efficiency gains, shorter assessment
times, and a broader analytical scope, making a compelling case for integrating generative AI
at the early stages of safety system development.