Earticle

초록

영어

The rapid advancement of AI has intensified the polarized debate between the "human interpreter replacement" thesis and the "machine interpreting impossibility" thesis, while concrete frameworks for human-AI collaboration remain underdeveloped. Rather than relying on functional comparative advantage, this paper identifies the fundamental ontological and epistemological differences between humans and AI as the theoretical foundation for a complementary interpreting collaboration model. Through a review of prior scholarship, the study analyzes the respective characteristics, strengths, and limitations of human interpreting and AI interpreting, and clarifies the distinctiveness of this research. Building on this foundation, the paper proposes an augmented interpreting collaboration model that incorporates AI use across the preparation, performance, and review stages of interpreting, as well as a fourfold typology of human-AI collaboration—human-led, human-AI essential, human-AI hybrid, and AI-led collaboration—differentiated according to context-dependency, risk, expertise, and accountability. The study's theoretical significance lies in demonstrating that as AI capabilities advance, the necessity of human-AI collaboration is reinforced rather than diminished.

목차

Abstract
I. 들어가는 말
II. 이론적 배경
1. 인간과 AI의 존재론 및 인식론적 차이
2. 인간과 AI 통역의 특성 및 장단점
3. 인간과 AI 통역 상호보완성 관련 선행연구 검토
III. 인간–AI 상호보완적 통역 협업 모델 및 유형
1. 인간 통역사의 증강 통역을 위한 AI와의 협업 모델
2. 의사소통 상황별 인간-AI 통역 협업 유형
IV. 결론
참고문헌

키워드

저자

• 장애리 [ Chang, Ai-Li. | 이화여자대학교 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  통역과 번역 [Interpretation and Translation]

• 간기

  연3회

• pISSN

  1229-6074

• 수록기간

  1999~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 717 DDC 400