Parinaz discusses the emerging challenges in AI, particularly adversarial attacks and the importance of AI safety. She highlights her work on differential privacy, emphasizing how it can create value while ensuring user data protection. Additionally, she challenges the notion that accuracy and fairness are mutually exclusive, sharing insights on how improving sampling strategies can enhance both model performance and fairness for protected groups.
