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Mapping relevant data collection mechanisms for AI training

(AI 학습을 위한 데이터 수집 메커니즘 맵핑)

목차

Title page 1

Contents 5

Foreword 3

Abstract 4

Executive summary 6

1. Introduction 8

2. Data collection mechanisms for AI training 9

3. Data collected directly from individuals and organisations 13

3.1. Provided data and observed data 13

3.1.1. Data provided by or observed from individuals when engaging directly with AI systems 13

3.1.2. Data (provided and/or observed) re-purposed for AI training 14

3.2. Voluntary data donations 14

4. Data collected from third-party providers 16

4.1. Data collected from third parties based on commercial arrangements 16

4.2. Data collected from third parties based on non-commercial practices 17

4.2.1. Open data arrangements 17

4.2.2. Scraping of publicly available internet data 19

5. Conclusions 20

References 21

Notes 26

Figures 5

Figure 2.1. The AI model development lifecycle 11

Figure 2.2. The personal, proprietary and public domains of data 11

Figure 2.3. Key data collection mechanisms for AI training 12

Figure 4.1. The degrees of data openness 17

Boxes 5

Box 4.1. The degrees of data openness 18

해시태그

#인공지능 # AI데이터 # 데이터수집 # 데이터거버넌스 # AI윤리 # AI정책

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AI 100자 요약·번역서비스

인공지능이 자동으로 요약·번역한 내용입니다.

Mapping relevant data collection mechanisms for AI training

(AI 학습을 위한 데이터 수집 메커니즘 맵핑)