Foundations of AI Governance and Responsible Development

As artificial intelligence integrates into daily business operations, the need for ethical oversight has never been more critical. This text-based course guides you through the essential principles of responsible AI development, giving you the practical knowledge to identify risks, prevent algorithmic bias, and implement governance structures. What you will learn: Understand core AI governance frameworks and emerging global regulatory standards; Identify and mitigate bias in datasets and machine learning models; Implement transparency, explainability, and accountability in AI workflows; Establish risk assessment protocols for modern generative AI and large language models; Design ethical guidelines for data collection, privacy, and model deployment. You will start with fundamental ethical concepts and key definitions before exploring practical risk-management frameworks through clear, written explanations. This course is perfect for beginners with no prior technical or programming experience. Begin reading today to build trust and responsibility in the future of technology.