Ethics in AI Research and Innovation focuses on building artificial intelligence systems in a responsible, fair, and transparent way. It promotes ethical decision-making across the AI lifecycle, from data collection to model deployment and monitoring. This training explains key principles such as fairness, accountability, transparency, privacy, and human-centered design. It also examines risks like bias, misuse, lack of explainability, and unintended societal impacts. You will learn how organizations apply ethical guidelines and governance frameworks in real projects. The course also highlights best practices for aligning AI development with societal values and regulatory standards.
