Artificial Intelligence: 70 Years Down the Road
Lin Zhang

TL;DR
This paper reviews the nearly century-long history of AI, analyzing development patterns, successes, failures, and proposing future directions emphasizing human-machine collaboration and philosophical insights.
Contribution
It offers a comprehensive historical analysis of AI's development, integrating technical and philosophical perspectives to guide future research and societal impact.
Findings
AI development follows a pattern from rules to statistics to data-driven methods.
Understanding past failures and successes requires systematic and philosophical analysis.
Human-machine collaboration and computing power are key to sustainable AI development.
Abstract
Artificial intelligence (AI) has a history of nearly a century from its inception to the present day. We have summarized the development trends and discovered universal rules, including both success and failure. We have analyzed the reasons from both technical and philosophical perspectives to help understand the reasons behind the past failures and current successes of AI, and to provide a basis for thinking and exploring future development. Specifically, we have found that the development of AI in different fields, including computer vision, natural language processing, and machine learning, follows a pattern from rules to statistics to data-driven methods. In the face of past failures and current successes, we need to think systematically about the reasons behind them. Given the unity of AI between natural and social sciences, it is necessary to incorporate philosophical thinking to…
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Taxonomy
TopicsEthics and Social Impacts of AI
