Example Concept: Organizations should adopt a governance framework that includes ethical guidelines, risk assessments, and continuous monitoring to balance innovation with ethical AI use. This involves setting up cross-functional teams to oversee AI projects, ensuring transparency through documentation like model cards, and using tools like fairness dashboards to detect and mitigate bias. By embedding these practices into the innovation lifecycle, organizations can drive responsible AI development while maintaining ethical standards.