<ul data-eligibleForWebStory="true">Generative AI (GenAI) brings transformative power but raises challenges in data governance and ethics.Concerns include biases amplification, intellectual property issues, deepfakes, and data traceability.Establishing robust data governance is crucial for ethical GenAI deployment and preventing misinformation.Key aspects involve pre-training data curation, ethical review boards, human oversight, and adaptive policies.Privacy-preserving techniques like differential privacy and federated learning are recommended.Technical measures such as bias detection and output lineage tracking play a role in governance.Global regulatory frameworks, such as the EU AI Act and the US AI Disclosure Act, impact AI governance.China's regulations focus on content management and data protection for Generative AI services.International organizations must adapt governance frameworks to comply with evolving AI regulations worldwide.Building trust and ensuring fairness in GenAI deployment require continuous vigilance and commitment to responsible innovation.