Join this keynote to explore the multifaceted landscape of artificial intelligence by examining its ethical challenges and transformative opportunities. We delve into risks such as hallucinations, biases, and unpredictable outcomes, while highlighting innovative methods for quantifying uncertainty that enhance model reliability and transparency. Additionally, we discuss AI's emerging role as a catalyst for creative problem-solving and idea generation. By integrating insights from rigorous AI research, established ethical frameworks, and real-world applications, we address techniques like differential privacy, federated learning, and Bayesian deep learning that can improve reliability and trustworthiness of the models.