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ChatGPT介入劳动教育的前景呈现、潜在风险与纾解之策
引用本文:王闻萱,王丹. ChatGPT介入劳动教育的前景呈现、潜在风险与纾解之策[J]. 中国劳动关系学院学报, 2023, 37(6): 72-80
作者姓名:王闻萱  王丹
作者单位:大连海事大学 马克思主义学院,辽宁 大连
摘    要:生成性人工智能 ChatGPT 一经出场,便迅速获得了全球用户的广泛使用和高度认可。该技术在为人类日常生活和学习教育提供便捷的同时,也存在着诸多问题。智能依赖会弱化劳动观念养成,信息茧房会淡化劳动理论学习,技术沉溺会简化劳动技能锻炼,规范失控会虚化劳动教育环境。这一系列隐藏在技术背后的潜在风险必将深刻影响我们的教育领域,尤其是劳动教育领域。对此,需要凭借一种递进逻辑来寻求应对之策,从而有效纾解 ChatGPT 介入劳动教育导致的潜在风险。这就要加强劳动观念引领,实现对错误劳动观念的精准纠治;增强劳动理论学习,清理错误理论渗透的存在空间;注重劳动技能锻炼,筑牢抵御体力与脑力退化的身体防线;优化劳动教育环境,加强对算法伦理监管的刚性约束。

关 键 词:ChatGPT  人工智能  劳动教育  伦理挑战

Research into Prospects, Potential Risks, and Mitigation Strategies of ChatGPT''s Involvement in Labor Education
WANG Wenxuan,WANG Dan. Research into Prospects, Potential Risks, and Mitigation Strategies of ChatGPT''s Involvement in Labor Education[J]. Journal of China Institute of Industrial Relations, 2023, 37(6): 72-80
Authors:WANG Wenxuan  WANG Dan
Affiliation:School of Marxism, Dalian Maritime University, Dalian, Liaoning
Abstract:The emergence of generative AI ChatGPT has rapidly gained widespread use and recognition from global users. While the technology provides convenience for daily life and learning, it also poses many challenges. For example, intelligence dependency weakens the cultivation of labor concepts, information cocoons downplay the learning of labor theory, technological addiction simplifi es labor skill training, and lack of control devalues the labor education environment. Hence, the series of risks hidden behind the technology will profoundly affect our education sector, especially labor education. To address this issue, a progressive logic needs to be used to seek mitigation strategies and effectively alleviate the potential risks resulting from ChatGPT''s involvement in labor education. This entails strengthening the guidance of labor concepts to achieve correction of specifi cally targeted erroneous labor concepts, reinforcing the learning of labor theories to clear spaces infi ltrated with erroneous theories, emphasizing the training of labor skills to consolidate a physical defense against physical and mental degeneration, and optimizing the labor education environment to strengthen the rigid constraints on algorithmic ethics supervision.
Keywords:ChatGPT   artifi cial intelligence   labor education   ethical challenges
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