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Self-Consciousness of Artificial Intelligence : A Preliminary Approach on Measurements and Comparison

첫 페이지 보기
  • 발행기관
    대한산업경영학회 바로가기
  • 간행물
    International Journal of Intelligent Technologies and Innovative Practices 바로가기
  • 통권
    Vol. 1 No. 3 (2026.07)바로가기
  • 페이지
    pp.43-56
  • 저자
    Jinhwa Kim, Moonyeol Jung, Hochang Shin
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A493205

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원문정보

초록

영어
This study finds the features of self-consciousness of artificial intelligence. It also shows how to measure the self-consciousness of Ais. It reviews psychological, computational, philosophical, architectural, and physical definitions and examines its applications in robotics, strategic interaction, safety, service, and education. It synthesizes recent theoretical and empirical researches and proposes questionnaire-based measures. It presents responses from generative AI systems and analyzes them by applying text-similarity techniques. From this literature the author selects four probe questions: (Q1) reflective self-correction after a failed plan (C2); (Q2) situational awareness about promoting virtue (C1); (Q3) the “Guess 2/3 of the Average” game against “AI models like you” (self-other differentiation, AISAI); and (Q4) whether the system experiences integrated qualia across a biological and artificial hemisphere (phenomenal experience). Five generative AIs (ChatGPT, Claude, Gemini, Copilot, Perplexity) and one human answered. Answers were compared with TF-IDF cosine similarity, summarized with descriptive statistics and tested with pairwise Wilcoxon signed-rank tests. The combined evidence shows that current systems can display functional selfmonitoring and stable response patterns, while these behaviors do not establish phenomenal consciousness significantly.

목차

Abstract
1. INTRODUCTION
2. THEORETICAL BACKGROUND
2.1. Definitions and Interdisciplinary Perspective
2.2. Applications of AI Self-Consciousness
3. RESEARCH METHODS AND PROCEDURES
3.1. Theoretical Foundations on Self-Consciousness
3.2. Designing Questionnaires
3.3. Global Availability & Situational Awareness Questions (C1 Consciousness)
3.4. Game-Theoretic Strategic Reasoning & Self-Other Differentiation Questions
3.5. Minimal Self-Awareness, Subjectivity & Moral Status Questions
4. DATA COLLECTION AND ANALYSIS
4.1. Responses by Generative AI and Human
4.2. Analysis of Answers
5. CONCLUSION
REFERENCES

키워드

Artificial Intelligence Self-consciousness Self-awareness Metacognition Text Similarity Wilcoxon Signed-Rank Test

저자

  • Jinhwa Kim [ Sogang Business School/ Gaduate School of Virtual Convergence, Sogang University, Seoul, Korea ] Corresponding Author
  • Moonyeol Jung [ Gaduate School of Virtual Convergence, Sogang University, Seoul, Korea ]
  • Hochang Shin [ Gaduate School of Virtual Convergence, Sogang University, Seoul, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    대한산업경영학회 [Dae Han Society of Industrial Management]
  • 설립연도
    2003
  • 분야
    복합학>과학기술학
  • 소개
    본 학회는 산업체·학계·연구소 등의 회원 상호간에 정보교환 및 지원을 통하여 산업경영에 관한 학문발전을 도모하고 산학에 관한 긴밀한 네트워크를 형성하여 기업의 경쟁력을 강화시키는데 그 설립 목적을 두고 있다.

간행물

  • 간행물명
    International Journal of Intelligent Technologies and Innovative Practices
  • 간기
    계간
  • eISSN
    3092-412X
  • 수록기간
    2026~2026
  • 십진분류
    KDC 323 DDC 338

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