Author

Irem Yoldas

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#artificial intelligence Preprint Aug 2026

LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmark

This paper proposes two new bias testing methodologies for Large Language Models (LLMs) and Visual-Language Models (VLMs)-"All Else Being Equal"tests and "Self-Consistency"tests-in order to assess bias in pedestrian-yielding decisions.

Irem Yoldas, Martim Brandão, Jie Zhang et al. · 0 citations