권호기사보기
| 기사명 | 저자명 | 페이지 | 원문 | 기사목차 |
|---|
결과 내 검색
동의어 포함
Title page 1
Contents 6
Foreword 4
Acknowledgements 5
Abbreviations and acronyms 8
Executive summary 9
1. Effective use of AI in Social Security 11
Analytical framework 12
The use of AI in social protection systems across OECD countries 13
AI for checking eligibility of means-tested benefits: The case of energy poverty reports in Catalonia 14
Machine learning for document recognition and classification, the case of the German Federal Employment Agency 17
AI to simplify claims processing: The case of Finland's Social Security Institution 22
Cross-cutting insights 24
References 27
Note 28
2. Unlocking the potential of trustworthy AI in social security 29
Enablers - Are the right enablers in place to support the use of AI? 31
Guardrails - How do countries manage the risk of AI in the public sector? 39
Engagement - How are users being engaged on the use of AI systems? 44
References 49
Notes 50
3. Building an AI-ready workforce 51
Understanding workforce and skills implications of AI 52
Skills needs related to AI in the social security sector 55
Building in-house capability for AI through recruitment and strategic partnerships 56
Developing AI-related skills through training 59
Strategic workforce development 65
References 70
Notes 73
Annex 3.A. Examples of AI-related training in OECD countries 74
Tables 7
Table 2.1. National strategy for AI in the public sector 32
Table 2.2. Making investment decisions about adopting AI systems 32
Table 2.3. Specific funding allocated for the development and use of public sector AI systems 33
Table 2.4. Supporting public institutions in the procurement of AI 34
Table 2.5. Key components of digital infrastructure are being used to support the integration of AI 35
Table 2.6. Guardrails in place to manage the use of AI tools 39
Table 2.7. Actors engaged in the development of public sector AI policies and use cases 45
Table 3.1. Skill needs related to AI by target group 55
Figures 7
Figure 1.1. Current and potential uses of artificial intelligence in social protection 13
Figure 1.2. Example of a suggestion in VerBIS based on a sample job advertisement 19
Figure 2.1. OECD Framework for Trustworthy Artificial Intelligence in Government 30
Figure 2.2. OECD Model Framework for Data Governance in the Public Sector 36
Figure 3.1. Illustration of AI training examples by target group 61
Boxes 14
Box 1.1. AI and the future of social protection: current and future uses of AI in social protection systems 14
Box 1.2. Uses of AI in Public Employment Services 18
Box 1.3. The BA's guiding principles to strengthen the traceability of AI 20
Box 3.1. Free training and learning resources on AI 64
Box 3.2. Private sector initiatives to comply with the AI Act Art. 4 64
Annex Tables 7
Annex Table 3.A.1. Examples of training on AI in public administration 74
Annex Table 3.A.2. Examples of AI training in public administration leading to a degree or qualification 75
*표시는 필수 입력사항입니다.
| 전화번호 |
|---|
| 기사명 | 저자명 | 페이지 | 원문 | 기사목차 |
|---|
| 번호 | 발행일자 | 권호명 | 제본정보 | 자료실 | 원문 | 신청 페이지 |
|---|
도서위치안내: / 서가번호:
우편복사 목록담기를 완료하였습니다.
*표시는 필수 입력사항입니다.
저장 되었습니다.