Abstract
Abstract. The evolution of artificial intelligence (AI) has sparked widespread discussion regarding its potential to replicate or even surpass human intelligence. However, understanding the fundamental differences between AI and human intelligence is crucial for leveraging AI effectively and responsibly. This paper explores the fundamental differences between AI and human intelligence, focusing on structural, learning, and cognitive disparities. By reviewing the history and current state of AI, the paper highlights that despite significant advancements in specific domains, AI still faces limitations in causal reasoning, generalization, common-sense reasoning, and transparency. Based on these limitations, the paper defines AI's application scenarios, including handling unstructured data and automating repetitive tasks. Furthermore, the discussion extends to the prospects of AI in specific fields such as decision support, healthcare, autonomous driving, and finance, emphasizing collaborative work between humans and AI. Finally, the paper underscores that AI should serve as a tool to assist humans in solving complex problems, with a focus on fairness and safety in its societal applications.
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