Ethical AI Use and Responsible Prompting

As artificial intelligence becomes a standard part of the modern workplace, the need for a principled approach to its use has never been more critical. This course provides a foundational understanding of how to navigate the ethical challenges of AI while maximizing its potential for innovation. You will progress from learning basic AI terminology to implementing practical strategies for transparency, fairness, and accountability in your digital workflows. By the end of this course, you will be able to evaluate AI outputs critically and use generative tools within a clear ethical framework. What you'll learn: - Understand the fundamental differences between AI types and their unique ethical implications - Analyze the core principles of fairness, accountability, and transparency in automated systems - Apply ethical prompt engineering techniques to minimize bias and improve output quality - Evaluate risks related to data privacy and intellectual property when using generative models - Practice human-in-the-loop workflows to ensure accuracy and ethical alignment - Identify and mitigate common algorithmic biases in AI-generated content The course begins with essential definitions and the history of AI ethics before moving into practical written exercises focused on responsible prompting and safe data handling. This course is designed for beginners who want to use AI tools professionally and responsibly, with no prior technical or programming experience required. Start building a more ethical and informed relationship with artificial intelligence today.