In this panel discussion, experts examine how human oversight plays a critical role in ensuring large language models behave safely, ethically, and reliably. They'll explore emerging frameworks for evaluation, red teaming, and governance that help mitigate risk and bias in real-world deployments. The conversation will highlight practical strategies for maintaining accountability and trust as LLMs become deeply integrated into enterprise and public-sector systems.