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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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소장정보 검색

국회도서관 홈으로 정보검색 소장정보 검색
결과 내 검색 동의어 포함
결과 내 검색 동의어 포함

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Title page

Contents

Abstract / Résumé 3

1. Introduction 5

2. What are digital skills and how have they been measured so far? 6

3. Empirical strategy 8

4. Data 11

5. Main features of AI-intensive jobs in the United Kingdom 13

6. Conclusions 21

References 22

Annex A. Explaining the NLP pipeline 25

Tables

Table 1. Share of missing values in Lightcast data 12

Table 2. Main advantages and disadvantages of using Lightcast data 12

Figures

Figure 1. Steps of the empirical approach 8

Figure 2. Example of a tokenisation process 8

Figure 3. Creating AI-hiring intensity measures at occupation and industry level 11

Figure 4. Economy-wide AI-hiring intensity in the United Kingdom 14

Figure 5. Comparison data-hiring and AI-hiring intensity 15

Figure 6. AI-hiring intensity by industry, United Kingdom 16

Figure 7. AI-hiring intensity by UK regions in 2022 17

Figure 8. AI intensive occupations in the United Kingdom 18

Figure 9. AI- and data-hiring intensive occupations 19

Figure 10. Comparison between data and AI skills for selected occupations 20

Boxes

Box 1. Criteria and classification rule to identify AI-intensive noun chunks 10

Annex Figures

Figure A.1. A natural language processing pipeline 25

Figure A.2. Example of a tokenisation process 25

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