Robustness and safety in AI

Robustness and safety in AI refer to ensuring that AI systems operate reliably and predictably across various situations. Robustness means the AI can handle unexpected inputs or changes without failing or making errors. Safety involves designing AI to avoid causing harm or making dangerous decisions, even in complex or uncertain environments. Together, they aim to create AI that performs effectively, securely, and ethically, minimizing risks to individuals and society while maintaining dependable operation under diverse conditions.