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Italy’s AI Education Innovation: A Key to the National Strategy 2024-2026
콘텐주
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• Strengthening AI education for all citizens, from elementary, middle, and high school to college and working adults
• Emphasizes multidisciplinary approach and ethical AI development
• Promoting practical AI education through industry-academia cooperation
• Goal of enhancing national competitiveness by improving AI literacy
The education sector occupies a key position in the 2024-2026 National AI Strategy announced by the Italian government. The strategy aims to train the talents needed in the AI era and increase the understanding of AI among all citizens. Let’s take a closer look at the main contents.
1.
Introduction of AI education in elementary, middle, and high schools
The Italian government plans to gradually introduce basic AI education from elementary school to high school, a measure to increase understanding and familiarity with AI from an early age.
• Development of customized AI curriculum by age group: For elementary school students, we provide basic AI concepts and simple coding education, for middle school students, we provide AI application cases and basic machine learning concepts, and for high school students, we provide more advanced AI algorithms and project-based learning.
• Operate AI education programs for teachers: We operate intensive training programs to help teachers effectively teach AI. We provide various forms of education, such as AI boot camps during summer vacations, online courses, and workshops.
• Encourage real-world AI project-based learning: Emphasize project-based learning so that students can apply AI to solve real-world problems. For example, work on a project that uses AI to solve a problem in your community, or create art using AI.
2.
Expanding university AI education and multidisciplinary approaches
Universities are significantly expanding AI-related education while emphasizing a multidisciplinary approach. This is a result of recognizing that AI is not just a technical issue, but is also related to various fields such as society, ethics, and economics.
• Expanding AI major and minor courses: In addition to existing computer engineering and data science departments, we will establish a new AI-specialized department. In addition, we will expand the base of AI education by allowing students from other majors to choose AI as a minor.
• Strengthening AI convergence education in conjunction with humanities, social sciences, etc.: We open convergence subjects such as AI and philosophy, AI and psychology, and AI and economics to help students gain a multifaceted understanding of AI. Through this, students can deeply explore not only the technical aspects of AI but also its social and ethical implications.
• Mandatory courses on AI ethics, social impact of AI, etc.: All AI-related majors will be required to take courses on AI ethics and social impact. This will help foster responsible AI developers and users.
3.
AI retraining program for workers
In order to respond to the rapidly changing labor market, we are implementing AI retraining programs for workers. This is an important strategy to adapt to changes in jobs due to AI and create new opportunities.
• Providing customized AI utilization education by industry: We provide AI utilization education that suits the characteristics of each industry, such as manufacturing, service, and finance. For example, we provide education on quality control and predictive maintenance using AI to manufacturing workers, and education on AI-based risk analysis and customer service improvement to finance workers.
• Support for self-directed AI learning through online platforms: We will build an online AI learning platform operated by the government to support workers to learn AI at their own pace, anytime and anywhere. The platform provides courses of varying difficulty, from beginner to advanced.
• Operate career counseling services to prepare for job changes due to AI: We provide personalized career counseling services to prepare for the changing work environment due to AI. Through this, workers can receive specific advice on how to develop their careers.
4.
Strengthening AI ethics and social impact education
We foster a culture of responsible AI development and use by strengthening education on the ethical aspects and social impacts of AI. This is to minimize the negative effects that technological advancements may bring and to ensure that AI has a positive impact on society.
• Develop and disseminate AI ethics guidelines: Government, academia, and industry collaborate to develop AI ethics guidelines and disseminate them to educational settings and businesses. These guidelines present ethical principles to be considered in the development and use of AI.
• Support research on the socio-economic impacts of AI: Support interdisciplinary research on the impacts of AI on employment, economic inequality, social structures, etc. The results of these studies will serve as important references for policymakers and educators.
• Operate open lectures on AI policy and governance: Operate open lectures on AI policy and governance for the general public. This will enable citizens to participate more actively in the AI-related policy decision-making process.
5.
Practical AI education through industry-academia cooperation
Collaboration between universities and companies will provide AI education that can be applied immediately to practice. This will help bridge the gap between academic knowledge and practical requirements.
• Expanding AI internship programs: Expand opportunities for college students to work as interns at AI-related companies. The government provides incentives to companies and scholarships to students for this purpose.
• Operating corporate-linked AI project classes: Companies present AI-related problems they are actually facing to universities, and we operate project classes where students solve them. Through this, students can gain experience solving real-world business problems with AI.
• Establish an AI expert mentoring system: Establish a mentoring system that connects students with AI experts in the industry. Through this, students can receive advice from those with practical experience and form a network.
“Given that Italy ranks seventh in the world in terms of universities and research, this educational strategy will further enhance our AI competitiveness,” said Mario Nobile, head of the Italian Digital Authority (AgID). “In particular, practical AI education through industry-academia collaboration will accelerate the adoption and innovation of AI in our companies,” he added.
Professor Gianluigi Greco, coordinator of the expert committee, emphasized that “by strengthening AI education, we will promote the development and adoption of transparent and trustworthy AI solutions that are in line with our values.” He also predicted that “by strengthening education on ethical AI development, Italy will be able to position itself as a leader in the responsible development of AI.”
In conclusion, Italy's AI education strategy is characterized by a comprehensive approach targeting all citizens and an emphasis on ethical aspects. By providing tailored AI education for various classes, from elementary, middle, and high school to universities and working professionals, it aims to cultivate talents needed in the AI era and enhance national competitiveness.
What is particularly noteworthy is that AI education goes beyond simple technical education and emphasizes understanding of ethics and social impact. This is an important approach to minimize the side effects that may result from the development of AI technology and to ensure that AI has a positive impact on society.
In addition, practical AI education through industry-academia cooperation is expected to greatly contribute to narrowing the gap between academic knowledge and practical requirements. This will help cultivate talents who can effectively apply AI knowledge learned at university in real business environments.
The successful implementation of this strategy is expected to greatly contribute to Italy’s leading position in AI technology innovation and utilization. In addition, Italy’s approach can serve as an important benchmarking case for AI education for other countries. At a time when AI is rapidly developing, Italy’s comprehensive and systematic AI education strategy will serve as an important foundation for preparing for the future society.
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