人工智能開源模型訓(xùn)練的倫理風(fēng)險

中圖分類號：B82-057 文獻(xiàn)標(biāo)識碼：A 文章編號：2095-6916（2025）13-0009-04

Ethical Risks in the Training of Open-Source Artificial Intelligence（AI） Models

Yan MingLong Lida （JilinNormalUniversity，Siping136000）

Abstract：From a techno-ethical perspective，large AI models exhibit two distinct development models，open Π-Π source and closedsource，eachemonstratinguqueadantagesandnherentiitatios.Troughsystematicnalysisofeticalisksintetraiingofe sourceAImodels，tisstudyidentifiessignificantchallngesinareassuchasdataprivacymodelatacks，technologicalmonopliesand algorithmicdiscriminationAlthoughoensourcemodelspromotetechnologicalinovation，issuessuchasunauthorizeddatausealiciouscodeinjectioandalgoriticdisriiationayexacerbateocialijusticeThisdypropossacollborativegoveaefa work，emphasiingteanementofrasparencyataqualityssuraneandericipleofticalpririadvocatingforulti stakeholder co-governance to balance technological openness and risk prevention.

Keywords：AI;open-source models；ethical risks；data privacy；algorithmic discrimination

隨著人工智能技術(shù)的飛速發(fā)展，人工智能開源大模型的訓(xùn)練逐漸成為行業(yè)內(nèi)部技術(shù)升級的主流趨勢，開源模式的開放性和透明性使得人工智能技術(shù)獲得了更廣泛的應(yīng)用和技術(shù)創(chuàng)新，但開源模型訓(xùn)練在推動技術(shù)進(jìn)步的同時引發(fā)了大量的倫理風(fēng)險和挑戰(zhàn)。（剩余5557字）