AI accelerates the data society

Keynote of International open forum on data society

Transcript

1. IT Promotion Agency Japan AI accelerates the data society. 2024-02-12 Kenji Hiramoto Director General of Digital Infrastructure Center IT Promotion Agency, Japan Executive Officer for International Data Strategy Digital Agency, Japan
3. IPA is the government-funded agency for the digital technologies.
4. Japan Other ministries  IPA Support digital-related government organizations. 4 Overview of Government Organizations Cabinet Office (Science & Technology) Ministry of Economy, Trade and Industry Digital Agency Other ministries IT Promotion Agency National Information Security Center AI Data Space Software Digital Transformation Digital HR Incubation Security Digital and Data Ministries Cabinet level Organizations Government Funded Organizations Other Independent Administration Agencies
5. Japan  Over 550 specialists work in IPA. 5 Overview of IPA IPA Digital Architecture Design Center Digital Infrastructure Center Digital Human resource Development Center Industrial Cyber Security Center of Excellence Information Security Center AI project team Members from data engineer team, digital transformation team and security team. AI System • Utilization • Safety(Risk management) Data Space • Data space and platform • Interoperability Software Engineering • Software Engineering(including LegalTech) • Data engineering Digital Transformation Human resource Security Staffs:550+ Staffs:100+
6. Japan Trends around the data society 6
7. Japan  Increased image, drawing, sensor, and geospatial data as well as text data. Explosion of data https://www.wevolver.com/article/2023-edge-ai-technology-report https://www.lfedge.org/wp-content/uploads/2020/04/SOTE2020.pdf Edge
8. Expansion and cooperation of Data Initiatives 8 Society Industry B2B Organization Artificial Intelligence • Maximize the value of data Data space • Treat data as assets and knowledge. Data sharing • Collaborate across industries and borders Data management • Provide quality data in a sustainable way
9. Japan rule Platform Data rule Platform Data rule Platform Data rule Platform Data rule Platform Data rule Platform Data rule Platform Data rule Platform Data rule Platform Data  Difficult to manage due to large number of stakeholders and rapid pace of change.  We want to realize Japan one team with various organizations working together. 9 Various stakeholders and light speed rule Platform Data rule Platform Data rule Platform Data Cross Industry Cross Border Cross Expertise Supply chain Recycle chain
10. Japan Main topics 10
11. 11 Don't miss the AI big wave.
12. Japan Supply-driven approach 12 AI has caused a paradigm shift Demand-driven approach Data Infrastructure Data Society Data Infrastructure Data Society with AI Rule Platform Data Decision makers can’t understand the value of the data. Use cases helped decision makers understand the value of data
13. Japan  Every country and organizations strongly promote AI.  One of the essential factor is data.  AI Safety is focused topics. 13 Data is essential for AI AI strategy AI hub - Utilization - R&D AI Safety UK US JP SG … EU4AI(EU) AI.gov(US) AI Japan(JP) IPA AI(JP) OECD.AI Algorisms / models AI-based services Assets (Computing resource) Experts Data Data for learning Data for processing Stored data / Realtime Data
14. Japan Issues  High-quality data  Trustful source  Bias-less data  Log management  Traceable learning data  Intellectual property  Prevention of mis/dis information  Ethics 14 There are many requests from AI team Platform  Data catalog  Data market  Ontology  Data cleansing tool  Data verification tool  Trust-related tool  Log management tool  Trace management tool Findability Quality Trust
15. Japan Data team should solve these issues Design Collect Merge Import Analyze Publish Store API access Abolish 1. Rule 2. Platform 3, Data supply AI Other sources Findable Processable data Qualified and trusted data Various data Compliance info.
16. 16 There are many rules in each countries and organizations.
17. Japan  Enhance the LegalTech activities • We need repositories of laws and guidelines for findability。 • We need machine-readable laws and regulations.  Establish Institutional Arrangement for Partnership (IAP) • An international mechanism for operationalizing DFFT 17 Rule
18. Japan  There are many frameworks. We can check the other guidelines easily. 18 Crosswalk is first step of rule IoP ISO-IEC-42001 NIST AI Risk Management Framework(RMF) Reference FDIS23894 OECD/EU/EO13960 Singapore AI Verify BSA Framework AI Taxonomy of trustworthiness for AI Japan AI Guideline for Business(GfB) Working
19. 19 交差点 信号 We need efficient, sustainable and safety platform.
20. Japan  There are many services and product.  Already in practical use and spreading 20 Platform for data sharing EC DG CONNECT Digital building blocks fiware IDSA Gaia-X DSA DATA-EX EC DG INFOMATICS Interoperable Europe EC DG Publications Data.eu IPA Digital Agency Ministry of Economy, Trade and Industry
21. 21 ジュースサーバ ガソリンスタンド We need hi-quality and variety of data
22. Japan  Government initiatives are important to improve data quality.  As governments release high-quality data and related tools, society's data will become higher quality. 22 Mechanisms for supplying high quality data Design Collect Merge Import Analyze Publish Store API access Abolish Other sources Data engineering methodology Open data Base registries Data market Validation tools Data fusion tools Data models Ontology Cleansing tools
23. Japan  Data models play an important role in improving data quality.  Using data models to design data and API can make it easier to produce high quality data.  Data models have matured after years of work by various organizations. 23 Reference data model projects EU Joinup Core Voc. &EIF Start point: administration JAPAN GIF Start point: administration US NIEM Start point: Safety Private sector Schema.org Start point: Web search Private sector fiware Smart Data Models Start point: Data sharing India IUDX Korea
24. Japan Perspective for future data society 24
25. Japan Global Data Ecosystem 25 Goal: Competitive economy and well-being life （Anyone launch and use digital services, anytime） Certificated traceable data Circular Economy Design Disposal Supply chain Recycle chain Data Space Commerce Cross-domain data space Digital Infrastructure Data Data Space Battery Data Space Building Data Space Robot Data Space ・・・ Data Space Public Services Data Space PJ PF PF PF PF PF PF PF Product, Money Usage PF Rules, Tools and Data model Methodology for governance Human resource Management Security DX Building Blocks DX Rules, Tools and Data model Standards
26. Japan  Data Space connect to Digital Engineering 26 Digital twin include various data CAD Drawing data Digital mockup BIM/CIM Geospatial data Manufacturing Process Production data Trading process Transaction data Legal Software Base registries Open data Modeling Modeling Modeling Modeling Modeling Data space Data supply Modeling Social activities/ Environment Realtime data Society5.0 (Digital Twin) Sensor Object City ASOT Authoritative Source of Truth Data supply Asset Knowledge
27. Japan Need for cooperative efforts 27
28. Japan  We needs training courses and use cases. 28 Human resource is a critical factor -50 -25 0 +25 +50 Fraction of current workforce (%) New jobs and lost jobs, 2023-2027 Future of Jobs Report 2023 INSIGHT REPORT MAY 2023 https://www3.weforum.org/docs/WEF_Future_of_Jobs_2023.pdf
29. 29 Digital transformation Bundling opinions to create a solid stream to the data society. Digital engineering Digital twin AI
30. 30 Digital Infrastructure Center Think globally and Think about the future.