Navigate the complex ethical landscape of artificial intelligence. This keynote provides essential wisdom for leaders, developers, and citizens on how to build and deploy AI systems that uphold human dignity in critical areas like healthcare, education, and society at large. Daniel unpacks key challenges such as algorithmic bias (which has been shown to misrepresent minority groups in over 70% of analyzed systems), data privacy, accountability, and the impact of automation on human labor. Audiences will learn practical frameworks for identifying and mitigating AI risks, fostering transparency, and implementing robust governance models. The session culminates in actionable takeaways for promoting ethical AI design, advocating for responsible policy, and ensuring that technological progress serves the common good and protects the inherent value of every individual.