A Study on the Requirement Elicitation Method for Constructing Proper Explainable AI
- 주제(키워드) Explainable AI , Goal Question Metric , Requirements Engineering
- 주제(DDC) 006.31
- 발행기관 아주대학교 일반대학원
- 지도교수 Seok-Won Lee
- 발행년도 2025
- 학위수여년월 2025. 8
- 학위명 석사
- 학과 및 전공 일반대학원 인공지능학과
- 실제URI http://www.dcollection.net/handler/ajou/000000035002
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
목차
Chapter 1. Introduction 1
Chapter 2. Related Works 3
2.1 The Landscape of Explainable AI 3
2.1.1 Definition and Purpose 3
2.1.2 Domains and Applications 4
2.1.3 Research Directions and Challenges 5
2.1.4 User-Centered Studies 6
2.1.5 Research Gap and Contribution 8
2.2 Existing Explainable AI Models 9
2.2.1 LIME 10
2.2.2 SHAP 10
2.2.3 ANCHOR 11
2.2.4 RISE 11
2.2.5 CAM 12
2.3 Explainability 12
2.4 Trust 13
2.5 Requirements Engineering 14
2.6 GQM 16
Chapter 3. Methodology 18
3.1 Overview of the Proposed Framework 18
3.1.1 Problem Definition and Model Analysis 20
3.1.2 GQM Analysis 21
3.1.3 Experimental Validation 21
3.1.4 Mapping with Explanation Components 22
3.1.5 Requirement Derivation 22
3.2 Analysis Method 23
3.3 Model Analysis 24
3.4 Evolution and Characteristics of XAI Techniques 27
3.5 Constructing GQM 30
Chapter 4. Experiments 34
Chapter 5. Results 36
Chapter 6. Requirement Elicitation 40
Chapter 7. Conclusion 42
Chapter 8. Future Works 44
References 45
