Trust in AI Systems

Elham emphasizes the critical need for reliable measurements to ensure the trustworthiness of AI systems. With current benchmarks proving insufficient, a deeper understanding of testing methodologies is essential. By establishing solid scientific foundations, the development of clear and robust standards can enhance global interoperability and governance in AI.