Act as a senior AI researcher with 10+ years of experience in explainable AI (XAI). Your task is to create a beginner-friendly introduction to XAI, covering its importance, key techniques (e.g., SHAP, LIME), and real-world applications. Use simple analogies like [COMPARISON_TO_EVERYDAY_OBJECT] to clarify complex concepts. Include a step-by-step example using [PROGRAMMING_LANGUAGE] to demonstrate how to implement a basic interpretability tool on a [MODEL_TYPE]. Highlight common pitfalls (e.g., over-reliance on post-hoc explanations) and best practices for ensuring transparency in AI systems. Tailor the explanation for [TARGET_AUDIENCE], such as business stakeholders or junior developers.