梳理人工智能意识研究脉络，探讨技术与伦理挑战。
Introduction to Artificial Consciousness: History, Current Trends and Ethical Challenges
- 从弱意识到强意识，厘清人工意识核心概念。
- 聚焦全局工作空间与注意图式融合，探索评估系统内状态方法。
- 警示潜在风险，倡导负责任的研究方向。
随着人工智能与意识科学的显著进展，人工意识（AC）近年备受关注。本文综述该交叉领域的主要议题与当前趋势：第一部分追溯历史脉络，明确术语定义，区分弱人工意识与强人工意识；第二部分分析主要实现路径，强调全局工作空间理论与注意图式理论的协同作用，以及评估人工系统内部状态的难题；第三部分剖析人工意识发展的伦理维度，揭示重大风险与变革性机遇；最后提出研究指引，说明本研究局限及未来方向。结论指出，尽管人工意识对科学发展不可或缺且难以避免，但必须投入巨大努力应对这一创新路径带来的深远影响。
原文摘要 · Abstract (English)
With the significant progress of artificial intelligence (AI) and consciousness science, artificial consciousness (AC) has recently gained popularity. This work provides a broad overview of the main topics and current trends in AC. The first part traces the history of this interdisciplinary field to establish context and clarify key terminology, including the distinction between Weak and Strong AC. The second part examines major trends in AC implementations, emphasising the synergy between Global Workspace and Attention Schema, as well as the problem of evaluating the internal states of artificial systems. The third part analyses the ethical dimension of AC development, revealing both critical risks and transformative opportunities. The last part offers recommendations to guide AC research responsibly, and outlines the limitations of this study as well as avenues for future research. The main conclusion is that while AC appears both indispensable and inevitable for scientific progress, serious efforts are required to address the far-reaching impact of this innovative research path.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。