AI, the Engine of Local Community Innovation: From Grassroots AI to Wide-Area AI Welfare

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AI, the Engine of Local Community Innovation: From Grassroots AI to Wide-Area AI Welfare

Recently, AI technology has reached a new turning point, moving beyond large-scale, central government-led projects to be actively utilized in solving specific problems within local communities. From the Korea Artificial Intelligence Association’s ‘AI Neighborhood Brain’ proposal to Gyeongsangnam-do Province’s ‘AI-based Integrated Care’ system, collaboration between the four major science and technology institutes and local businesses for AI transformation, and Korea Electric Power Corporation’s (KEPCO) grand AI transformation, AI is now playing a pivotal role in revitalizing local economies and improving residents’ quality of life. This shift is more than just technological progress; it is becoming a crucial driver for fostering innovation across society.

AI, a Catalyst for Local Community Change

AI can play a crucial role in solving complex problems faced by local communities, extending beyond merely being a tool for efficiency. For instance, AI technology can be utilized to address the shortage of care services exacerbated by an aging society or to tackle job losses resulting from regional economic stagnation. Furthermore, AI presents new possibilities for resolving various social issues such as environmental problems, traffic congestion, and educational disparities. This is because AI technology can analyze and predict problems based on data, thereby offering more effective solutions. The potential of AI can significantly contribute to the sustainable development of local communities and the enhancement of residents’ quality of life.

The Necessity of AI-Based Local Community Innovation

South Korea is facing rapid aging and a crisis of regional decline, where AI technology can play a significant role in addressing these challenges. According to Statistics Korea’s 2023 elderly population statistics, individuals aged 65 and over constitute 18.4% of the total population, a figure projected to exceed 40% by 2050. Additionally, many provincial cities are struggling with population decrease and economic stagnation. In this context, AI can offer solutions in various areas, such as providing health management and care services for the elderly, fostering new industries to revitalize local economies, and establishing efficient urban management systems. AI-based local community innovation is an essential factor in overcoming these crises and achieving sustainable development.

AI Neighborhood Brain: An AI Pledge for Grassroots Democracy

The ‘AI Neighborhood Brain’ (AI Dongne Dunae), proposed by the Korea Artificial Intelligence Association, is a customized policy design white paper for candidates running for local government head positions in local elections. This white paper defines AI not merely as an industrial tool but as a technology that complements individual lives and strengthens social connections. Key aspects of the ‘AI Neighborhood Brain’ include systems that provide companionship for elderly individuals living alone, structures that supplement insufficient caregiving staff to offer more care services, and infrastructure development to create new jobs in declining regions. The ‘AI Neighborhood Brain’ aims to go beyond simply presenting technical solutions, striving instead to meet the practical needs of local residents and contribute to solving social problems.

Specific Applications of the AI Neighborhood Brain

The ‘AI Neighborhood Brain’ can be applied in various fields. For example, building AI-based smart cities can alleviate traffic congestion, enhance energy efficiency, and strengthen crime prevention systems. Furthermore, AI-based educational systems can provide personalized learning for students and bridge educational gaps. AI-based medical systems can facilitate remote consultations and deliver healthcare services to residents in areas with limited medical access. Beyond these, AI can contribute to local economic revitalization in diverse sectors such as agriculture, tourism, and culture. The crucial aspect is to tailor AI technology to the specific characteristics and challenges of each region.

Conditions for Successful Implementation of the AI Neighborhood Brain

For the ‘AI Neighborhood Brain’ to be successfully implemented, several conditions are necessary. First, understanding and participation from local residents regarding AI technology are essential. Education and public awareness campaigns are needed to explain how AI can improve quality of life and what its potential risks are. Second, securing the necessary budget for AI technology development and application is crucial, requiring active investment and support from both central and local governments. Third, training AI technology experts is urgent. Local universities and businesses must collaborate to cultivate AI talent and support them in contributing to their communities. Fourth, ensuring the ethical integrity and safety of AI technology is paramount. Strict regulations and monitoring systems must be established to prevent AI technology from exacerbating discrimination or infringing upon personal information.

Gyeongnam-style AI Integrated Care: An AI Safety Net to Eliminate Welfare Blind Spots

Gyeongsangnam-do Province (Gyeongnam) has become the first metropolitan local government in South Korea to introduce a ‘Generative AI-based Integrated Welfare Platform’ to address welfare blind spots. This initiative leverages AI technology to proactively identify individuals eligible for welfare services who were previously difficult to reach through the traditional application-based system, ensuring timely provision of necessary care services. Gyeongnam’s ‘AI-based Integrated Care’ system aims to support residents in enjoying happy daily lives in their own communities by establishing a ‘Gyeongnam-style Quadruple Care Safety Net’ that combines AI with on-site personnel. Particularly in areas with limited medical access, such as the islands of Tongyeong, AI-based integrated care services are expected to play an even more critical role.

How the Gyeongnam-style AI Integrated Care System Works

The Gyeongnam-style AI Integrated Care system analyzes various data to predict and identify individuals in welfare blind spots. For instance, AI analyzes health insurance data, income data, housing data, and diverse community data to locate those in need of welfare services. Furthermore, AI analyzes the information of welfare service applicants to determine which services are required and connects them with appropriate provisions. AI also identifies problems arising during the welfare service delivery process and suggests improvements. For example, if it detects high demand for a specific service in a particular area, it can recommend increasing the provision of that service or developing new ones. In this way, AI contributes to enhancing the efficiency and effectiveness of welfare services through data-driven decision-making.

Expected Effects and Challenges of the Gyeongnam-style AI Integrated Care System

The Gyeongnam-style AI Integrated Care system can bring about various positive outcomes, including the elimination of welfare blind spots, improved efficiency of welfare services, and enhanced quality of care services. However, several challenges must be addressed for successful system establishment and operation. First is the issue of personal information protection. There is a possibility of personal information leakage or misuse during AI’s analysis of personal data. Therefore, robust security systems and strict regulations are necessary to protect personal information. Second is the data quality issue. If the quality of the data analyzed by AI is low, it can lead to incorrect conclusions. Thus, ensuring data accuracy and reliability is crucial. Third is the challenge of collaboration with on-site personnel. Regardless of how advanced an AI system is, the role of human staff remains vital. AI systems should be utilized to support the work of on-site personnel and enhance their efficiency. Therefore, it is essential to incorporate the opinions of on-site staff from the AI system development phase and provide thorough training on AI system usage.

AI Collaboration Between Four Major Science and Technology Institutes and Local Businesses: Building an AI Ecosystem for Regional Economic Revitalization

The four major science and technology institutes in South Korea—KAIST, GIST, DGIST, and UNIST—are accelerating regional AI transformation through collaboration with local businesses. These institutes are establishing joint research centers with key regional companies, cooperating on AI technology development and talent cultivation to build an AI ecosystem that revitalizes local economies. This collaboration is expected to strengthen the competitiveness of local businesses and create new job opportunities. In particular, the four institutes are focusing on developing AI technologies tailored to the specific characteristics of each region, thereby generating new growth engines for local economies.

Examples of AI Collaboration by the Four Major Science and Technology Institutes

KAIST (Korea Advanced Institute of Science and Technology) is collaborating with AI startups in the Daejeon area to support AI technology development and commercialization. Specifically, KAIST provides research facilities and equipment, offers technical consulting and mentoring, and assists with investment attraction for these startups. GIST (Gwangju Institute of Science and Technology) is working with automotive parts manufacturers in the Gwangju area to support the establishment of AI-based smart factories. GIST provides AI technology training, smart factory implementation consulting, and assists in developing AI-based production management systems for these companies. DGIST (Daegu Gyeongbuk Institute of Science and Technology) is partnering with medical device companies in the Daegu area to support the development of AI-based medical diagnostic systems. DGIST offers AI technology training, medical data analysis support, and assists in developing AI-based medical diagnostic algorithms for these firms. UNIST (Ulsan National Institute of Science and Technology) is collaborating with shipbuilding and marine companies in the Ulsan area to support the development of AI-based smart ships. UNIST provides AI technology training, ship data analysis support, and assists in developing AI-based operational optimization systems for these enterprises.

Importance and Challenges of Building an AI Ecosystem

Building an AI ecosystem plays a crucial role in revitalizing local economies. An AI ecosystem refers to an environment where various elements—such as AI technology development, AI talent cultivation, AI-based commercialization, and AI technology dissemination—interact. When a robust AI ecosystem is established, local businesses can leverage AI technology to strengthen their competitiveness, develop new products and services, and create new markets. Furthermore, an AI ecosystem can generate new jobs and enhance the growth potential of the regional economy. However, building an AI ecosystem is not an easy task. Various challenges exist, including securing funding for AI technology development, nurturing AI talent, disseminating AI technology, and addressing ethical issues related to AI. Therefore, diverse stakeholders, including central and local governments, universities, businesses, and research institutions, must actively collaborate to establish an AI ecosystem.

KEPCO’s Grand AI Transformation: Building an AI Platform for the Future of the Energy Industry

Korea Electric Power Corporation (KEPCO) has declared a ‘Grand AI Transformation for Management Innovation,’ outlining a vision to become the world’s leading energy AI platform provider by integrating AI with energy. KEPCO plans to leverage AI as a core driver for management innovation to tackle complex challenges such as energy security and climate change response. This ambitious plan aims for innovation across the entire energy industry, not just improving the efficiency of power generation and supply. KEPCO’s grand AI transformation is expected to be a significant turning point that could reshape the future of the energy industry.

KEPCO’s Grand AI Transformation Strategy

KEPCO is pursuing the following strategies for its grand AI transformation. First, it plans to establish a data foundation that AI can immediately utilize by building a data ontology that assigns meaning and context to power data. A data ontology clearly defines the meaning of data and establishes relationships between data, helping AI understand and utilize data more effectively. Second, KEPCO intends to fully convert existing data centers into AI data centers to build core infrastructure for running AI solutions. AI data centers provide high-performance computing infrastructure capable of storing and processing large volumes of data. Third, it will establish an AI risk management system to ensure safety and reliability and strengthen collaboration with specialized AI research institutions. An AI risk management system plays a crucial role in preventing errors, malfunctions, and misuse of AI systems, thereby ensuring their safety and reliability. Fourth, KEPCO plans to enhance the efficiency and stability of the power system by building an AI-based smart grid. A smart grid is a next-generation power network that uses AI technology to optimize power generation, supply, and consumption, and improve the stability of the power system.

The Future of AI-Based Energy Platforms

KEPCO’s grand AI transformation holds the potential to reshape the future of the energy industry. An AI-based energy platform will enable the following future scenarios. First, improved energy efficiency: AI can analyze power generation, supply, and consumption data to reduce energy waste and maximize energy efficiency. Second, expanded renewable energy: AI can analyze weather, climate, and power demand data to predict renewable energy generation and integrate it stably into the power system. Third, enhanced power system stability: AI can detect abnormal signs in the power system early and respond quickly in the event of an incident, thereby increasing the system’s stability. Fourth, creation of new energy services: AI can analyze customer energy consumption patterns to provide customized energy services and generate new business models.

Conclusion: AI, a Catalyst for Local Community Innovation

Various recently announced cases demonstrate that AI is presenting new possibilities by actively being utilized in solving specific problems within local communities, moving beyond large-scale, central government-led projects. From grassroots AI pledges like the ‘AI Neighborhood Brain’ to ‘AI-based Integrated Care’ systems, collaboration between the four major science and technology institutes and local businesses for AI, and KEPCO’s grand AI transformation, AI can play a pivotal role in revitalizing local economies and improving residents’ quality of life. AI technology is more than just a technical tool; it can be a powerful catalyst contributing to the sustainable development of local communities and the happy lives of their residents.

The Importance of Developing Region-Specific AI Solutions

For AI technology to become a catalyst for local community innovation, developing AI solutions that consider the unique characteristics and challenges of each region is essential. Uniform AI solutions struggle to meet the diverse needs of local communities and can even create new problems. Therefore, it is crucial to gather feedback from local residents and encourage the participation of regional experts to develop customized AI solutions. For example, in rural areas, AI-based smart farming systems can be developed to enhance agricultural efficiency, while in urban areas, AI-based smart transportation systems can alleviate traffic congestion. Additionally, in tourist regions, AI-based tourist information systems can be developed to improve visitor satisfaction.

The Need for AI Talent Cultivation and Technology Sharing

For AI technology to be successfully applied in local communities, AI talent cultivation and technology sharing are essential. Local universities and businesses must collaborate to nurture AI talent and establish regional networks for AI technology sharing and cooperation. Furthermore, AI technology education programs should be developed to enhance local residents’ understanding of AI. As AI technology evolves rapidly, continuous education and training are necessary. Moreover, sharing knowledge and experience gained during AI technology development is crucial to strengthen the overall AI technological capabilities of the entire community. AI technology sharing and cooperation networks can also contribute to enhancing the competitiveness of local businesses.

The Importance of Ensuring AI Ethics and Safety

To ensure that AI technology has a positive impact on local communities, securing AI ethics and safety is paramount. AI technology carries potential risks, such as exacerbating discrimination or infringing upon personal information. Therefore, ethical considerations and safety measures must be integrated throughout the AI technology development and application process. Efforts should be made to develop fair algorithms to prevent AI technology from deepening discrimination. Additionally, robust security systems for personal data protection must be established, and regulations to prevent the misuse of personal information should be strengthened. To ensure the safety of AI technology, technical and institutional mechanisms must be put in place to prevent errors, malfunctions, and malicious use of AI systems.