Assess students' understanding of the technical principles behind AI-generated deepfakes (e.g., generative models such as GANs and diffusion models, face/voice synthesis workflows, data and evaluation metrics), common detection and mitigation techniques (forensic analysis, watermarking, adversarial defenses), and the ethical, legal, and societal implications (misinformation, consent, privacy, harms, governance and policy trade-offs). The quiz will test conceptual knowledge, ability to analyze brief case studies, evaluate risks and responsibilities, and propose technical or policy-based mitigation strategies.