Benchmarking trustworthy multimodal AI: AIXPERT contributes to HAICon 2026
As artificial intelligence systems become increasingly multimodal and capable of reasoning across text, images and other data modalities, ensuring that these models are trustworthy requires more than stronger architectures alone. Robust evaluation frameworks and meaningful benchmarks are becoming essential tools for understanding model capabilities, limitations and potential risks. This challenge was at the centre of…