Example Concept: AI-driven financial forecasting involves using machine learning models to predict future financial trends based on historical data. Key risks include ensuring data quality and integrity, avoiding overfitting by selecting appropriate model complexity, and maintaining compliance with financial regulations. Additionally, it's crucial to regularly update models to reflect changing market conditions and to monitor for any biases that could affect prediction accuracy.