AI Terminology and Debates: Navigating Key Concepts

As artificial intelligence becomes a permanent fixture in our daily lives, the language used to describe it is often confusing, loaded, and highly debated. Moving past the buzzwords is essential for anyone who wants to understand how these technologies actually work and how they impact society. This course provides a clear roadmap through the most significant and controversial terms in the field today, moving beyond surface-level definitions to explore their deeper meanings and ethical consequences. What you'll learn: - Define core AI terminology and distinguish between narrow applications and theoretical general intelligence - Examine the controversies surrounding machine "consciousness" and the limits of current models - Understand the mechanics of hallucinations and how retrieval-augmented generation (RAG) is used to ground AI responses - Analyze the ethical landscape of algorithmic bias, data sovereignty, and intellectual property - Explore the evolution of prompt engineering as a bridge between human intent and machine output - Evaluate the "black box" problem and the growing need for transparency in automated decision-making The course begins with foundational definitions and historical context before progressing into the technical nuances and societal debates shaping the industry today. You will engage with written explanations and conceptual exercises designed to solidify your understanding of complex topics. This course is designed for absolute beginners, including professionals, parents, and curious learners, with no prior technical or programming background required. Start building your AI literacy through clear and comprehensive written guidance.