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作 者:李伦 徐妍 Li Lun;Xu Yan(School of Humanities,Dalian University of Technology,Liaoning Dalian116024)
机构地区:[1]大连理工大学科技伦理与科技管理研究中心,辽宁大连116024
出 处:《科技管理研究》2025年第5期218-224,共7页Science and Technology Management Research
基 金:国家社会科学基金重大项目“大数据环境下信息价值开发的伦理约束机制研究”(17ZDA023)。
摘 要:人工智能生成内容(Artificial Intelligence Generated Content,AIGC)的产出特性展现了一种交织着创造力、知识价值评估及技术决定论的复杂形态。深入剖析其本质,这一现象实则根源于人工智能(AI)算法设计者与内容提词者的协同作业。此合作框架凸显了在内容创作过程中这两类角色所承载的道德责任,进而明确了人类主体在AIGC伦理治理中的核心地位。为了深入剖析AIGC伦理规制的正当性与合理性根基,后果论作为道德判断的一种方法论,着重于预先评估AIGC技术诱发的潜在的负面效应,从而为构建并实施一套行之有效的伦理监管体系提供了坚实的理论支撑。在此基础上,内在主义和外在主义两种路径的实践,共同致力于在AIGC内容生成的完整周期内实现道德的深度整合与渗透,探索算法对齐与内容纠偏,为AIGC技术的可持续发展提供坚实的伦理保障。The output characteristics of Artificial Intelligence Generated Content(AIGC)exhibit an intricate pattern intertwined with creativity,knowledge validation and technological determinism.Through an in-depth analysis of its nature,it becomes evident that this phenomenon is actually rooted in the collaborative efforts of artificial intelligence(AI)algorithm designers and content prompters.This framework highlights the ethical responsibilities shared by both roles throughout the content creation process,thereby elucidating the central role played by human subjects in the ethical governance of AIGC.In order to thoroughly examine the legitimacy and rationality of AIGC's ethical regulation,consequentialism,as a methodology for moral judgment,focuses on proactively assessing the ethical risks that may arise from AIGC technology and its profound social impacts.Consequently,it provides a robust theoretical foundation for constructing and implementing an effective system for ethical regulation.Building upon this foundation,both internalist and externalist approaches are employed to achieve deep integration and permeation of ethics within the full life cycle of AIGC content generation.This includes exploring algorithm alignment and content correction while establishing ethical safeguards for sustainable development of AIGC technology.
分 类 号:B82-057[哲学宗教—伦理学] TP18[自动化与计算机技术—控制理论与控制工程] G301[自动化与计算机技术—控制科学与工程]
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