191008 harnessing ai
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The document discusses Japan's strategy for harnessing AI to deliver more effective and efficient citizen-centric public services. It outlines Japan's goals of using AI to enhance services for citizens, increase the efficiency of public administrations, and improve public safety infrastructure. The strategy focuses on developing AI technologies and applications, building human resources capabilities, and establishing governance frameworks to guide the responsible development and use of AI.
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191008 harnessing ai
- 1. 2019-10-08 2：20-35 pm 0 Harnessing the Potential of AI in Delivering Citizen-Centric Services Kenji Hiramoto Chief Strategist (IT), Cabinet Secretariat
- 2. Background Effective and Valuable services for citizens Efficiency of Public administrations Public Safety Infrastructures 1 Various service requests from citizens 24h365d services Personalized services Population 127,000thousands Decrease in government staffs Central government 341 thousands staffs(2018) Local governments 3,384 thousands staffs (2017) Compliance to complex legislations and rules Prevent the crimes and accidents Number of Crimes 817,338 Number of Traffic accident 43,0601 (2017) Monitor and Maintain the infrastructures Roads 1,279,511.9 km Rivers 144,031.4km Number of Bridges (over 2m) 691,901 Number of Tunnels 10,619 (2017-4-1)
- 3. Why do we focus on AI? 2 Accuracy Stability Fairness Accountability Adoption AI enhance government trust and service quality. Speed 24 X 365 service We can‘t prevent human errors and bias. X AI
- 4. Overview of Digital Strategy in Japan Other Acts Privacy act and Info. disclosure act Society 5.0 (2016) Economic Growth Strategy (2019-6) Innovation Strategy (2019-6) Digital Strategy (2019-6) Data Strategy (2019-6) Digital Government Policy (2017-5) • Connected Industries • Digital first • Once only • One stop Vision National Strategies Digital Strategies IT ACT (2000) DATA ACT (2016) Digital First ACT (2019) Society 5.0 Reference Architecture Data Exchange Platform Government Interoperability Framework (IMI) Data Strategy / Policy Rule Organization Business Data harness functions Data Data broker function Asset Sensor, Actuator, Hardware, Network Gathering, Integration, Cleansing, Device management Data definition, Data model, Code Catalogue, Search, AI, Analysis Business process Business Rule Coordination Team Legislation Regulation Vision Priority domain Security/Authentication Lifecycle Open Data Policy (2017-5) 3 AI Principal (2019-3) AI Strategy (2019-6) AI Strategy
- 5. AI Society Principal We launched the AI Society Principal in March 2019. AI will bring many great benefits to society, but its enormous impact on society. We need to redesign society in every way, including activities of the citizen, social systems, industrial structures, innovation systems, and governance. 4 Human-Centric Education/Literacy Privacy Protection Ensuring Security Fair Competition Fairness, Accountability, and Transparency Innovation R&D and Utilization Principles Dignity: A society that has respect for human dignity Diversity & Inclusion: A society where people with diverse backgrounds can pursue their well-being Sustainability: A sustainable society Section Philosophy AI Society Principals R&D and Utilization Principals 5 Essential element • Human Potential • Social Systems • Industrial Structures • Innovation Systems • Governance
- 6. Strategic Objectives AI Strategy We launched AI Strategy in June 2019. This strategy clarifies the actions and roles through 2030. 5 Objective1: Human resources Objective2: Competitiveness Objective3: Architecture & sustainable mechanism Objective4: Research, education and social infrastructure network Foundation for the Future Education R&D Foundation for Industry and Society Digital Government Data rerated Infrastructure • Data infrastructure • Trust / Security • Networks SMEs and Start up Support Priority area / PoC • Health, Medical Care and Long-term Care • Agriculture • National Resilience (Infrastructure, Disaster Risk Management) • Transportation Infrastructure and Logistics • Smart Cities
- 7. AI Strategy(Public Service) 6 Resilience(Infrastructure) • Robotics & Sensor network • Infrastructure data platform • Urban planning Smart cities • Smart cities • Including technologies Digital government • High value services • EBPM • Sustainable services • Work style Request for the high- quality services Increase the aging citizens Decrease the workers Finance of the government AI is an essential technology for public administrations. Data infrastructure • Interoperability framework • Data quality
- 8. Status of AI projects in Japan’s Government (Incl. Local Govs.) 7 Technologies Services for citizens Efficiency of Public administrations Public Safety Infrastructure s Inquiry and consultation • Speech Recognition • Natural Language Processing (NLP) ◎Service PoC (Chatbot) ◎Service PoC (Care planning) Monitor and inspection • Image Recognition • Sensor Data Processing • NLP 〇Service (Check of Documents ) ◎Service (Maintenance of Roads) ◎Service PoC (Maintenance of Bridges) Matching services • Pattern Matching ◎Service PoC (Promotion to potential residents) ◎Service PoC (Nurseries with Children) Predictive analysis • Image recognition • Sensor Data Processing 〇PoC (Weather map) 〇Service (Crime map) Information management • Image recognition • NLP ◎Service (OCR, RPA) AI with Robotics • Robotics ◎Service (Reception) ◎Service (Monitoring) ◎Service (O&M)
- 9. Approach AI PoCs, Use Cases Data (Fuel for AI) Rules Human resources 8 Open data Base registries Data quality Ethics Responsibility Intellectual properties Privacy Training PoC stage Product stage Service stage Barrier Lack of interoperability - Data standard - Quality of data
- 10. AI Concierge (Kawasaki city) 9 List of the day that the garbage gathered How to abundant bottles How to separate my garbage I inform you the rerated information. Please click the following button. How to recycle. How to abandon electronic appliance. AI show you services. You can use free word by using the bottom field. There are various services for personal needs. So municipality staff spent much time for responding citizen’s inquiries. Solution This dialogue service provide the following inquiries, - Nursing - Moving - Garbage - Residence Registration - Application The Place you deliver it. Link to web page of the service Free key word AI Concierge Cloud service Use case 1
- 11. AI Assignment of nurseries (Saitama city) AI assign nurseries to each child in consideration of parental requests 10 A few seconds 300 nurseries Assign by 20-30 staffs. It spend 1 week. (Total 125days) I like both X nursery and Z nursery. I like Y nursery. I dislike Y nursery. Anywhere. My child has an allergy. There are various requests from parents. 8000 children Before AI AI AI recommended the combination between children and nurseries. The results were almost the same as if staffs were to do it. Use case 2 Data model
- 12. Care Plan Assistant(Fukuoka city) 11 CPA engine recommend care plans to care managers by using AI. Welfare facilities Database Accumulation of care plan data Knowledge of care specialist CPA engine Recommended care plan Matching between the care plan and welfare facilities http://welmo.co.jp/ Care manager Use case 3
- 13. Tokyo Metropolitan Police Tokyo metropolitan police will analyze signs of crimes from 2019-4. Sign (7000cases/year) --- 60 thousands case data from 2010. • A stranger speak to a person on road. • A stranger follow a passerby In the test operation, Police arrested a suspicious person 12 Figure Height Clothes Conversation Data model of Strangers Use case 4 AI predict the location PatrolCitizens send reports History of crime
- 14. AI in Administrations There is a big possibility for AI. So, we would like to try and improve many cases. Most of ministries start AI projects in the central government. The promotion for municipalities are important. 13Research institute for Local government(2018-7) 10 34 117 16 770 0 100 200 300 400 500 600 700 800 900 Service PoC Planning No Plan after PoC No Plan AI in municipalities(n=935) *There are 1740 municipalities in Japan
- 15. Roadmap 14 Initial phase •There are many big data projects. •There are many AI PoCs. •Citizen recognize AI as a emerging Technology •Government is developing an interoperability framework. Implementation phase •There will be many stand-alone AI services. •Citizen will use AI in their life. •Government and municipalities will implement the interoperability framework. Mature phase •AI will become to our partners •Citizen will collaborate with AI We are here.
- 16. Challenge 15 Base registries Interoperability Framework & Platform StandardData quality AI Vision & Strategy Data is fuel for AI
- 17. AI for Aging Society 16 High Hospitality services Communication Conversation Handwriting Participation Administration services Healthcare Mobility service Drone From the digital divides to the digital supports. http://robotcare.jp/wp-content/uploads/2017/04/List-of-commercialized-equipment.pdf Therapy Robot ”Paro” http://www.aist.go.jp/aist_j/press_release/pr2004/pr20040917_2/pr20040917_2.html Powered suit Robot car
- 18. 17 For more information Kenji Hiramoto Cabinet Secretariat Ministry of Economy, Trade and Industry Government of Japan hiramoto-kenji@meti.go.jp
Editor's Notes
- Japanese high-speed train, Shinkansen, doesn’t use AI now. But we had started to use AI for designing next generation Shinkansen. Japan railway company have also begun discussions on a dynamic pricing system that utilizes AI. Today, Shinkansen is not main topic. I would like to introduce the utilization of AI in public sectors.
- First, I would like to explain the background. The population will decrease in Japan. So, central and local government should decrease their staffs. The staffs should provide various personalised services for citizens efficiently. And We have enormous infrastructures. We need to maintain the infrastructures for a limited number of people.
- Why do we focus on AI? We treat enormous data in our office every day. Sometimes, staffs make some errors in their jobs. In the analysis work, we have some opinions. It’s a bias of our analytics We can't prevent human errors and bias. AI has the following characteristics. They work 24 hours and 365 days. Their work is accurate. AI provide stable services. Their work is fair. And we can explain their work. AI can adapt to various requests. AI enhance government trust and service quality.
- This slide is the Overview of Digital Strategy in Japan Our vision is Society 5.0. It is seamless and smart society by using AI and IoT technologies. We add AI principle and AI strategy this year. We will promote digital strategy vigorously.
- AI will bring many great benefits to society, but its enormous impact on society. We need to redesign society in every way, including activities of the citizen, social systems, industrial structures, innovation systems, and governance. So we launched the AI society principal.
- And we launched the AI strategy. This strategy clarifies the actions and roles through 2030.
- This slide show you the detail of our strategy about public services. We think AI is an essential technology for public administrations. We focus on the three services and a platform. The smart city is a small showcase of society 5.0. And we will use AI to the resilience and digital government. These two areas will support the smart city project vigorously. The data platform will support all of the projects. Data is the fuel of AI.
- The left column is the types of AI services and technologies. The top row is the object of services. Many AI-related services are available today. And there are a lot of PoCs. For example, citizens can use the chatbot for inquiry in many cities. Another sample is the weather map. There has been a weather forecast. But now citizens can know the spot information about rain.
- This slide shows you our approach. I had introduced you the PoCs and services. We think human resources is essential for AI. In our AI strategy, education and training are one of the pillars. The significant issue is data and rules. Most of the stakeholders cooperate with us at the PoC stage. We can get various data and use under the conditions specified by PoC. But there are barriers to moving to the service stage. We need to provide data stably and decide the rules.
- I want to show you our use cases. This system is a chatbot for inquiries. Over 30 cities use this system. Citizens can ask questions to the chatbot any time. Chatbots reduce staff response times. The chatbot is good for getting started with AI.
- Saitama city use AI for assigning nurseries to each child in consideration of parental requests. It was a complicated task to assign 8,000 children to 300 nurseries Before the implementation of AI, 20-30 staffs spent a week assigning. After the implementation, It spent only a few seconds. The results were almost the same as if staffs were to do it. We can implement this system with a few adjustments. We expect to recoup our investment in AI in two or three years. More than 50 municipalities have tried as of March 2019.
- We are in the initial phase. There are many PoCs. Next stage is the implementation phase. We will provide sustainable AI services. Citizen recognises the potential of AI. The last stage is the mature stage. Citizens can use AI every time everywhere. But they don’t know that they are using AI.
- There is no point in just being AI. I had already said Data is fuel for AI. So we will strongly promote data strategy.
- Finally, I'd like to talk about critical topics. We are facing the ageing society. So far, we've been thinking about digital divides. AI can support the elderly using a variety of technologies such as conversation, handwriting character recognition and sensors. We should think about digital supports.