Abstract
The rapid proliferation of Chat Generative Pre-trained Transformer (ChatGPT) marks a
pivotal moment in artificial intelligence, eliciting responses from academic shock to industrial
awe. As these technologies advance from passive tools toward proactive, agentic
systems, their transformative potential and inherent risks are magnified globally. This paper
presents a comprehensive, critical review of ChatGPT’s impact across five key domains:
natural language understanding (NLU), content generation, knowledge discovery, education,
and engineering. While ChatGPT demonstrates profound capabilities, significant
challenges remain in factual accuracy, bias, and the inherent opacity of its reasoning—a
core issue termed the “Black Box Conundrum”. To analyze these evolving dynamics and
the implications of this shift toward autonomous agency, this review introduces a series of
conceptual frameworks, each specifically designed to illuminate the complex interactions
and trade-offs within these domains: the “Specialization vs. Generalization” tension in
NLU; the “Quality–Scalability–Ethics Trilemma” in content creation; the “Pedagogical
Adaptation Imperative” in education; and the emergence of “Human–LLM Cognitive
Symbiosis” in engineering. The analysis reveals an urgent need for proactive adaptation
across sectors. Educational paradigms must shift to cultivate higher-order cognitive skills,
while professional practices (including practices within education sector) must evolve to
treat AI as a cognitive partner, leveraging techniques like Retrieval-Augmented Generation
(RAG) and sophisticated prompt engineering. Ultimately, this paper argues for an overarching
“Ethical–Technical Co-evolution Imperative”, charting a forward-looking research
agenda that intertwines technological innovation with vigorous ethical and methodological
standards to ensure responsible AI development and integration. Ultimately, the analysis
reveals that the challenges of factual accuracy, bias, and opacity are interconnected and
acutely magnified by the emergence of agentic systems, demanding a unified, proactive
approach to adaptation across all sectors.