Systemic AI Safety via Risk Assessment of Synthetic Data in Autonomous Vehicle Development

SynSafe-AV will investigate the systemic risks posed by synthetic data in autonomous vehicle (AV) development—particularly where biases or inaccuracies may propagate and cause real-world impacts. Our goal is to develop robust risk assessment frameworks and policy recommendations, bridging both technical and social dimensions of AI safety.