The Rise of Global AI Interests: Evaluation, Monitoring, and Governance

Artificial Intelligence (AI) has taken center stage in technological advancement, influencing our lives, businesses, and government policies across the board. Interest in AI continues to grow, extending beyond mere technological development to encompass its ethical, regulatory, and social impacts. Three global AI themes that have recently gained prominence are 'AI Evaluation', 'AI Monitoring', and 'AI Governance'. These three areas form crucial pillars in the development and social acceptance of AI, with their importance highlighted through various approaches adopted by different countries.

Interest Over Time: Shifting Global Focus

Analysis of Google Trends data reveals that global interest in 'AI Evaluation', 'AI Monitoring', and 'AI Governance' has evolved over the past few months. According to data from November to December 2022, the following trends were observed:

• AI Evaluation interest remained steady with a slight increase recently, reflecting the global importance placed on assessing technological performance.

• AI Monitoring maintained particularly high interest, indicating the recognized importance of ensuring AI system stability.

• Interest in AI Governance was generally stable and gained attention faster than the other two keywords, reflecting consistent interest in AI regulation and ethical governance.

Interestingly, these three keywords are closely correlated. As AI evaluation improves, the need for AI monitoring grows, ultimately leading to the importance of AI governance. Evaluation measures AI system performance and builds trust, monitoring ensures consistent operation of these systems, and governance ultimately addresses whether these systems comply with regulatory and ethical requirements. Thus, evaluation, monitoring, and governance form an interdependent relationship ensuring the safe and responsible use of AI technology.

These trends well illustrate how global interest in evaluation, monitoring, and governance is changing with the advancement of AI technology. Each topic is considered important in various aspects of technological development, and interest in them shows consistent changes over time.

1. AI Keyword Distribution by Country: India, UK, USA

Based on Google Trends data, analysis of interest in AI evaluation, monitoring, and governance in India, the UK, and the USA revealed the following characteristics:

India

• AI Evaluation: 37%

• AI Monitoring: 35%

• AI Governance: 28%

In India, interest in AI evaluation and monitoring is quite high. This reflects India's approach to improving technological performance and building reliable systems. India focuses particularly on performance evaluation and monitoring for effective application of AI systems, which can be seen as an effort to ensure reliability and safety of AI in a rapidly growing digital market.

United Kingdom

• AI Evaluation: 21%

• AI Monitoring: 28%

• AI Governance: 51%

  
  

The UK shows the greatest interest in AI governance. This focus on governance, compared to evaluation and monitoring, reflects the UK's strong will to ensure ethical use and accountability of AI technology. This approach is similar to that of the EU, tending to strictly apply regulations and ethical standards for AI. The UK has a policy direction aimed at managing the social impact of AI well and minimizing the negative effects of AI technology through regulation.

United States

• AI Evaluation: 26%

• AI Monitoring: 31%

• AI Governance: 43%

In the case of the US, high interest in AI governance is notable, with evaluation and monitoring also treated as important elements. The US takes an approach that emphasizes technological innovation while balancing technological advancement and social responsibility through ethical standards. AI evaluation is used as part of a strategy to continuously improve performance while maintaining corporate innovation, and AI monitoring has become an important means of maintaining reliability in high-risk industries.

Insights: Mutual Comparison of Three Countries and Focus of Each Country

The UK places the greatest emphasis on AI governance, reflecting a policy emphasis on ensuring ethical and responsible use of AI. In contrast, India focuses more on evaluation and monitoring, showing a focus on improving AI technology performance and ensuring stability.

The US balances governance (Washington DC) and evaluation (San Francisco), showing an attempt to maintain balance between technological innovation and social responsibility. This reflects an approach to address ethical issues that may arise in the process of AI technology development while accelerating innovation.

Overall, developed countries tend to show relatively high interest in AI governance. This is because these countries tend to emphasize solving ethical issues of AI technology and responsibility for technology use. On the other hand, AI evaluation shows relatively high interest in countries like India or Ethiopia, as these countries perform many AI testing or data labeling tasks. These tasks are important processes for improving AI performance, where evaluation plays a crucial role.

Moreover, interest in AI monitoring appears to be high in the Middle East and conflict regions such as Iran, Iraq, Serbia, Ukraine, and Israel. This suggests that these regions are focusing on monitoring and controlling the stability, consistency, and potential risk factors of AI systems. Especially in conflict regions, ensuring predictability and stability of AI technology emerges as an important task, which is a crucial element in preventing AI systems from causing unexpected results.

2. AI Evaluation: A Technical Essential for Performance and Trust

AI evaluation refers to the process of objectively measuring the performance of AI systems and judging their value. For AI to be socially accepted and trusted, it is essential to verify its performance and safety. Evaluation systems are necessary to objectively verify AI's learning algorithms, prediction accuracy, and execution power in real environments.

• United States : Silicon Valley tech companies are continuously improving product performance through AI evaluation systems. This is a strategy to increase the reliability of AI algorithms while maintaining corporate innovation. In particular, large tech companies like Google and Microsoft are continuously evaluating and improving AI performance through their own AI test benchmarks and open evaluation competitions. Additionally, the US Department of Defense has established the 'JAIC (Joint Artificial Intelligence Center)' to build a system for evaluating AI system performance and utilizing it for national security. Through these efforts, they are securing the reliability and safety of AI and leading AI innovation in both private and public sectors.

  
  

• China : China, aiming to establish itself as a global leader in AI technology, is strengthening evaluation processes under government leadership to secure international competitiveness in AI performance. Through this, they aim to maintain technological superiority, especially setting the goal of becoming the world's strongest country in AI technology by 2030 through national strategies such as the 'New Generation AI Development Plan'. This strong government-led policy plays an important role in China's rapid adoption of AI technology across industries and enhancing competitiveness.

  
  

• India : India particularly emphasizes the practical application of technology and its contribution to economic growth in AI evaluation. The Indian government is setting AI evaluation standards through national think tanks like 'NITI Aayog' and measuring the performance and effectiveness of AI in various industries. In particular, they are verifying whether AI technology actually creates social value through field evaluations of AI solutions in areas such as healthcare, agriculture, and education. Additionally, India is pursuing various evaluation initiatives to promote the adoption of AI in public and private sectors, and these efforts are playing an important role in India's positioning as a global leader in AI technology.

3. AI Monitoring: A Tool for Stability and Sustainability

AI monitoring refers to the process of ensuring that AI systems consistently operate within certain standards and ethical frameworks. This is particularly important for securing stability and reliability of AI in high-risk areas. AI monitoring ensures that AI systems operate stably and predictably even in changing environments, which is a key method to increase the reliability of AI technology and reduce risks due to malfunctions.

• Japan : As a leading country in robotics and AI technology, Japan is building AI monitoring systems across industries. Particularly in manufacturing and medical industries, they have announced 'AI Safety Guidelines' to develop ways to increase system reliability to ensure safe application of AI. This reflects efforts to make AI more safely utilized through interaction between humans and machines.

  
  

• South Korea : Korea is actively introducing AI in various industries through rapid digital transformation and is actively building corresponding monitoring systems. In particular, the Korean government is regulating the stability of AI systems in various high-risk areas such as finance, healthcare, and manufacturing through 'AI Reliability Standards'. Through these efforts, Korea is enabling AI technology to spread rapidly while ensuring substantial safety.

  
  

• United States : In the US, AI monitoring has become an essential element in high-risk industry sectors such as finance and healthcare. The US federal government is strengthening the transparency and accountability of AI systems through the 'Algorithmic Accountability Act', which plays an important role in preventing AI malfunctions and ensuring stable utilization of systems. In particular, major cities like New York and Boston are strengthening AI monitoring systems to enhance the reliability and efficiency of AI technology, which is becoming an important foundation for building public trust.

4. AI Governance: The Need for Ethics and Regulation

AI governance aims to ensure a responsible and ethical approach to the development and utilization of AI. This has emerged as an essential element to ensure that its use remains ethically desirable and fair as AI becomes increasingly involved in human life.

• European Union (EU) : Europe is promoting responsible AI use through the AI Act, an AI regulatory bill. The strong regulatory model shown in the General Data Protection Regulation (GDPR) is also playing a role in setting global standards in AI governance. In particular, the AI Act establishes strict regulations and certification procedures for high-risk AI systems and requires AI systems to operate ethically and transparently. This reflects Europe's will to maintain a balanced approach to developing AI technology while protecting citizens' rights.

  
  

• Singapore : Singapore focuses on promoting responsible use of AI in public and private sectors through AI governance and maintaining social transparency. Singapore has announced the 'Model AI Governance Framework' to emphasize ethical use of AI and data accountability. Through this, they aim to minimize the negative impact of technology by having companies follow clear guidelines in AI use.

  
  

• United States : Through ethical guidelines such as the AI Bill of Rights, the US is trying to balance technological innovation and regulation. This is an important benchmark that encourages companies to continue innovation while fulfilling social responsibilities. In particular, the US federal government is strengthening cooperation between public and private sectors in research, development, and application of AI through the 'National AI Initiative', and regulating AI systems to be used fairly and safely.

5. Conclusion: Global Acceptance of AI and Future Outlook

Each country's approach to AI reflects slightly different strategies, and it appears that technological development and regulation will proceed simultaneously. AI evaluation, monitoring, and governance are not just technical buzzwords but essential elements considering technological development and its social impact. Each country is accepting AI differently according to its social and industrial needs, and these differences provide important insights into global AI policy and strategy formulation.

It is essential to set standards for AI evaluation and monitoring through global cooperation, emphasizing that it is difficult to ensure the reliability and ethical use of AI technology without international cooperation. Global standardization for evaluation and monitoring of AI technology will be an important step in reducing imbalances between technologies, setting ethical standards, and strengthening the safety and transparency of AI technology.

It is difficult to predict which country will gain more benefits in the future. As strategies and technological advances of each country act diversely, it is essential to set common goals and cooperate at a global level beyond individual national efforts for the development of AI. When these efforts are made, AI will be able to enrich human life and maximize social and economic value creation.

https://trends.google.com/trends/explore?date=2022-11-19 2024-11-19&q=ai evaluation,AI governance,ai monitoring&hl=en-US

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