Responsible Generative AI: Ethics, Safety, and Risk Management

Generative AI is transforming how we work and create, but deploying these powerful models requires a deep understanding of ethics, safety, and governance. Building and using AI responsibly is no longer optional—it is a critical requirement for maintaining trust and compliance in any organization. This text-only course equips you with the foundational knowledge to navigate the ethical complexities of generative AI, manage operational risks, and apply practical safety frameworks to your workflows. You will learn to identify potential pitfalls and implement guardrails that protect both users and organizations. What you'll learn: Understand the core ethical principles of generative AI, including fairness, transparency, and accountability; Identify and mitigate common risks such as algorithmic bias, hallucinations, and data privacy violations; Apply modern safety techniques, including red teaming, prompt filtering, and output guardrails; Implement governance frameworks to align AI systems with organizational values and compliance standards; Evaluate AI models for toxicity, safety, and intellectual property compliance before deployment. Starting with key terminology and foundational ethical concepts, the course guides you through practical risk management strategies and real-world safety workflows. Designed for beginners, this course requires no prior programming or technical background. Start reading today to build trust and safety into your AI initiatives.