Spam filters have significantly evolved from simple keyword-based systems to advanced algorithms using machine learning and AI. Early filters relied on blacklists and specific words to identify spam. Today, they use complex techniques like Bayesian filtering, heuristic analysis, and behavioral tracking to improve accuracy and reduce false positives.