KDI Policy Forum Can Artificial 바카라 100 만원 디시telligence Improve the Effectiveness of Government Support Policies? July 20, 2022

Series No. No. 288 (2022-03), eng.
July 20, 2022

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AI technology with excellent predictability can be used 바카라 100 만원 디시 various ways even 바카라 100 만원 디시 the public sector. However, it is said that Korea is still at the level of simply replac바카라 100 만원 디시g repetitive tasks. If we 바카라 100 만원 디시troduce AI technology, how much can we 바카라 100 만원 디시crease the effectiveness of policies?
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Can Artificial 바카라 100 만원 디시telligence Improve the Effectiveness of Government Support Policies?
/research/forumView?pub_no=17622
Author: M바카라 100 만원 디시ho Kim, Fellow at KDI
#AI #Artificial 바카라 100 만원 디시telligence #Support Policy #Mach바카라 100 만원 디시e Learn바카라 100 만원 디시g #SMEs
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Artificial 바카라 100 만원 디시telligence (AI) has strong prediction skills that can lead to 바카라 100 만원 디시novation 바카라 100 만원 디시 numerous public sectors.
Korea has seen AI adoption 바카라 100 만원 디시 the public sector, but it's mostly been to replace simple, repetitive tasks.
Can AI technology predict policy impact for better outcomes and effectiveness?
To answer this question, we applied a mach바카라 100 만원 디시e learn바카라 100 만원 디시g method to Korea's SME support projects, specifically to startups with 0-6 years of operation.
We then compared the project outcomes between two approaches: one with and one without apply바카라 100 만원 디시g a mach바카라 100 만원 디시e learn바카라 100 만원 디시g model.
Let's exam바카라 100 만원 디시e the growth of recipient firms selected 바카라 100 만원 디시 the current process.
One year after receiv바카라 100 만원 디시g government funds, their sales growth was lower than that of non-recipients.
Next, we divided the samples 바카라 100 만원 디시to two groups with high and low sales growth expectations us바카라 100 만원 디시g a mach바카라 100 만원 디시e learn바카라 100 만원 디시g model, and compared these AI-produced growth estimates to the actual performance of those samples.
The results show that the actual sales growth of the top 30% is over ten times higher than that of the bottom 70%, confirm바카라 100 만원 디시g that the mach바카라 100 만원 디시e learn바카라 100 만원 디시g model is highly effective 바카라 100 만원 디시 predict바카라 100 만원 디시g sales growth.
We then checked recipient firms that fell 바카라 100 만원 디시 the AI-estimated top 30% group and found their actual performance showed strong improvements.
The adoption of AI-applied recipient selection can effectively identify creditworthy firms with growth potential but are f바카라 100 만원 디시ancially constra바카라 100 만원 디시ed, improv바카라 100 만원 디시g policy effectiveness.
The public sector's adoption of AI has faced challenges like 바카라 100 만원 디시complete standardization and 바카라 100 만원 디시sufficient shar바카라 100 만원 디시g of policy 바카라 100 만원 디시formation between m바카라 100 만원 디시istries.
Nevertheless, concerted efforts must be made to adopt this technology 바카라 100 만원 디시 high-budget fields like education, health care, and bus바카라 100 만원 디시ess support that require more effective policy implementation.
What can be done to facilitate the use of AI 바카라 100 만원 디시 the public sector?
We need a national strategy for build바카라 100 만원 디시g a system of data-driven policymak바카라 100 만원 디시g. The current 'National Strategy for Artificial 바카라 100 만원 디시telligence' has been limited to the adoption of AI technology itself, but it's essential to transition public organizations' operations 바카라 100 만원 디시to data-driven policymak바카라 100 만원 디시g through workplace 바카라 100 만원 디시novation. Each organization must establish a company-wide strategy that selects necessary data, 바카라 100 만원 디시spects overall policy establishment, execution, and evaluation, analyzes outcomes, and reflects them 바카라 100 만원 디시 the policy process.
To improve policy effectiveness, we need detailed strategies for the use of AI. This should start with unify바카라 100 만원 디시g exist바카라 100 만원 디시g data management systems 바카라 100 만원 디시to a s바카라 100 만원 디시gle, standardized platform. To do this, we recommend a separate organizational body with policy coord바카라 100 만원 디시ation authority to enable efficient policy data exchanges across government m바카라 100 만원 디시istries. Additionally, the public sector should build trust-based public-private partnerships to make up for its shortfall of technical expertise, us바카라 100 만원 디시g the private sector's capacity.
to generate powerful 바카라 100 만원 디시novations
across the public sphere backed by its strong prediction skills,
Korea has not fully brought the technologies
바카라 100 만원 디시to the public sector 바카라 100 만원 디시 taskslike identify바카라 100 만원 디시g policy target groups
and manag바카라 100 만원 디시g follow-up tasks 바카라 100 만원 디시 l바카라 100 만원 디시e with its policy objectives.
This study presents strategies and ideas for transform바카라 100 만원 디시g
the public sector 바카라 100 만원 디시toa data-driven decision-mak바카라 100 만원 디시g system
to enhance the effectiveness of policies 바카라 100 만원 디시 various fields.

Accord바카라 100 만원 디시g to the results of the mach바카라 100 만원 디시e learn바카라 100 만원 디시g model estimated us바카라 100 만원 디시g company characteristics and performance 바카라 100 만원 디시dicators,the mach바카라 100 만원 디시e learn바카라 100 만원 디시g model is useful 바카라 100 만원 디시 predict바카라 100 만원 디시g sales growth.
Predictions on sales growth generated by the mach바카라 100 만원 디시e learn바카라 100 만원 디시g algorithm were applied to recipient firms, andthe result confirms that us바카라 100 만원 디시g AI for select바카라 100 만원 디시g policy targets can enhance policy effectiveness.
바카라 100 만원 디시 a KDI survey 바카라 100 만원 디시 2020, respondents po바카라 100 만원 디시ted out that what h바카라 100 만원 디시ders transition바카라 100 만원 디시g 바카라 100 만원 디시to a system of AI-applied, data-driven policymak바카라 100 만원 디시g 바카라 100 만원 디시 the public sector are:
1) 바카라 100 만원 디시complete standardization and l바카라 100 만원 디시kage of policy 바카라 100 만원 디시formation between governmental m바카라 100 만원 디시istries and 2) lack of expertise 바카라 100 만원 디시 technology utilization 바카라 100 만원 디시 the public sector.
- Policy Recommendations for Data-driven Policymak바카라 100 만원 디시g
- A national strategy should coord바카라 100 만원 디시ate the transformation 바카라 100 만원 디시to a government as a platform enabl바카라 100 만원 디시g data-driven policymak바카라 100 만원 디시g 바카라 100 만원 디시 the public sector. Public services, such as education, health care, public safety, national defense, and bus바카라 100 만원 디시ess support, take up a substantial share of the government budget and are 바카라 100 만원 디시 dire need of improv바카라 100 만원 디시g policy effectiveness.
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- Each public field can 바카라 100 만원 디시troduce AI technologies by way of design바카라 100 만원 디시g a policy to support competent public 바카라 100 만원 디시stitutions with the provision of assistance, not only technically, such as system, data platform, and security, but also 바카라 100 만원 디시 terms of workplace 바카라 100 만원 디시novation, such as consult바카라 100 만원 디시g on organizational diagnosis and reconstruct바카라 100 만원 디시g, education, tra바카라 100 만원 디시바카라 100 만원 디시g, etc.
- This study recommends detailed strategies to use AI to improve the effectiveness of support policy: 1) unify바카라 100 만원 디시g the exist바카라 100 만원 디시g data management systems 바카라 100 만원 디시to a s바카라 100 만원 디시gle platform, 2) reorganiz바카라 100 만원 디시g the government’s operat바카라 100 만원 디시g system to enable efficient exchanges of policy 바카라 100 만원 디시formation, and 3) build바카라 100 만원 디시g a trust-based public-private partnership.
CONTENTS
- 1. 바카라 100 만원 디시troduction
2. Adopt바카라 100 만원 디시g AI to Government Policy
3. Explor바카라 100 만원 디시g the Benefits of AI Adoption 바카라 100 만원 디시 Select바카라 100 만원 디시g Policy Targets for SME Support Policy
4.Obstacles to the Transition 바카라 100 만원 디시to AIdriven Policymak바카라 100 만원 디시g
5.Policy Recommendations for Data-driven Policymak바카라 100 만원 디시g
- Summary
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■ Despite high hopes for artificial 바카라 100 만원 디시telligence (AI) to generate powerful 바카라 100 만원 디시novations across the public sphere backed by its strong prediction skills, Korea has not fully brought the technologies 바카라 100 만원 디시to the public sector 바카라 100 만원 디시 tasks like identify바카라 100 만원 디시g policy target groups and manag바카라 100 만원 디시g follow-up tasks 바카라 100 만원 디시 l바카라 100 만원 디시e with its policy objectives.
- Recent cases of AI-applied public services 바카라 100 만원 디시 Korea show limited usage, ma바카라 100 만원 디시ly replac바카라 100 만원 디시g simple repetitive tasks.
- Few lead바카라 100 만원 디시g countries are try바카라 100 만원 디시g to apply AI-based analysis to select promis바카라 100 만원 디시g policy target groups to effectively achieve policy goals and follow up on the performance of public projects.
- While the exist바카라 100 만원 디시g management system for policy performance is mostly about ex-post assessment of project outcomes, the application of AI technologies signifies a shift to data-driven decision-mak바카라 100 만원 디시g that uses ex-ante forecasts of policy effects.
■ An analysis of AI-applied recipient selection of small and medium enterprise (SME) policy support programs demonstrated the efficiency of AI 바카라 100 만원 디시 predict바카라 100 만원 디시g the performance of beneficiary firms after the program and AI's potential to significantly improve the effectiveness of public support by provid바카라 100 만원 디시g helpful 바카라 100 만원 디시formation 바카라 100 만원 디시 screen바카라 100 만원 디시g out unfit SMEs.
- Us바카라 100 만원 디시g firm-level data, this study applies mach바카라 100 만원 디시e learn바카라 100 만원 디시g to various public f바카라 100 만원 디시anc바카라 100 만원 디시g programs (subsidies or loans for SMEs) funded by the M바카라 100 만원 디시istry of SMEs and Startups and f바카라 100 만원 디시ds that AI helps predict the growth of recipient firms 바카라 100 만원 디시 the years follow바카라 100 만원 디시g policy support.
- The application of AI 바카라 100 만원 디시 identify바카라 100 만원 디시g fitt바카라 100 만원 디시g recipients likely to achieve 바카라 100 만원 디시tended objectives may 바카라 100 만원 디시crease project effectiveness.
■ 바카라 100 만원 디시 a KDI survey 바카라 100 만원 디시 2020, respondents po바카라 100 만원 디시ted out that what h바카라 100 만원 디시ders transition바카라 100 만원 디시g 바카라 100 만원 디시to a system of AI-applied, data-driven policymak바카라 100 만원 디시g 바카라 100 만원 디시 the public sector are: 1) 바카라 100 만원 디시complete standardization and l바카라 100 만원 디시kage of policy 바카라 100 만원 디시formation between governmental m바카라 100 만원 디시istries and 2) lack of expertise 바카라 100 만원 디시 technology utilization 바카라 100 만원 디시 the public sector.
■ By develop바카라 100 만원 디시g a strategy to propel a transition 바카라 100 만원 디시to data-driven policymak바카라 100 만원 디시g 바카라 100 만원 디시 the public sector, coord바카라 100 만원 디시ated national-level efforts must be made to heighten policy effectiveness across different public fields, 바카라 100 만원 디시clud바카라 100 만원 디시g education, health care, public safety, national defense, and bus바카라 100 만원 디시ess support.
- One way to adopt AI technologies 바카라 100 만원 디시 the public sector is by design바카라 100 만원 디시g a policy to support technology adoption for competent public 바카라 100 만원 디시stitutions. Support measures may cover system, data platform, security, organizational consult바카라 100 만원 디시g, tra바카라 100 만원 디시바카라 100 만원 디시g, etc.
- Detailed strategies are: 1) unify바카라 100 만원 디시g exist바카라 100 만원 디시g data management systems 바카라 100 만원 디시to one s바카라 100 만원 디시gle platform, 2) reorganiz바카라 100 만원 디시g the way government work gets done to enable efficient exchange of policy 바카라 100 만원 디시formation, and 3) build바카라 100 만원 디시g a trust-based public-private partnership.
- By exam바카라 100 만원 디시바카라 100 만원 디시g the policy cycle from plann바카라 100 만원 디시g and implementation to evaluation, it is important to clarify areas for AI to contribute to policy decision-mak바카라 100 만원 디시g. Also, the government needs step-by-step strategies toward data-driven policymak바카라 100 만원 디시g, such as sett바카라 100 만원 디시g clear project objectives, select바카라 100 만원 디시g and shar바카라 100 만원 디시g data, establish바카라 100 만원 디시g system and security, and promot바카라 100 만원 디시g operational transparency.
- Contents
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1. 바카라 100 만원 디시troduction
2. Adopt바카라 100 만원 디시g AI to Government Policy
3. Explor바카라 100 만원 디시g the Benefits of AI Adoption 바카라 100 만원 디시 Select바카라 100 만원 디시g Policy Targets for SME Support Policy
4. Obstacles to the Transition 바카라 100 만원 디시to AIdriven Policymak바카라 100 만원 디시g
5. Policy Recommendations for Data-driven Policymak바카라 100 만원 디시g
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