Introduction to Responsible AI and Ethics

As artificial intelligence becomes deeply integrated into our daily technology, understanding the ethical implications of these systems is no longer optional. This text-based course introduces you to the essential concepts of responsible AI, guiding you through the ethical, social, and technical challenges of deploying AI systems safely. You will transition from a beginner to a conscious practitioner capable of identifying ethical risks and advocating for fair, transparent, and accountable AI solutions. What you'll learn: - Understand the core principles of responsible AI, including fairness, accountability, transparency, and safety. - Identify and mitigate common biases in datasets and machine learning models. - Explore modern AI governance frameworks and compliance standards. - Evaluate ethical implications specific to large language models and generative technologies. - Apply practical strategies to design transparent system architectures that respect user privacy. - Practice assessing real-world AI deployment risks through structured ethical impact analyses. The course begins with foundational definitions and key terminology before moving into practical frameworks, modern safety challenges in generative AI, and actionable governance strategies. Designed specifically for beginners, this course requires no prior programming or technical background. Start your journey toward building trustworthy and ethical technology today.