Under the influence of AI, the first challenge facing universities is establishing clear rules and limits on the application of AI in academia. Universities need to clearly define whether students are allowed to use AI in learning and research, and if so, how it should be used to ensure educational goals are met. Without these rules, academic outcomes could be negatively impacted. However, there are currently no unified rules among universities worldwide on this issue.
Another crucial task is to adjust training programs and curricula to align with the rapidly changing labor market driven by AI. Occupations related to content creation or repetitive tasks are highly likely to be automated, leading to a decrease in recruitment demand. Therefore, adjustments to training programs should be guided by two approaches: a strategic vision, long-term forecasting, and close monitoring of actual labor market needs.
Accordingly, schools need to anticipate major changes in future training and workforce needs. The government and professional associations play a crucial role in policy planning and career guidance, supporting schools in adjusting their training strategies. In addition, schools need to understand specific changes in industry and job demand through regular surveys of stakeholders, including employers and students. This is also a key requirement in international accreditation standards.
In terms of training, the program needs to integrate more soft skills such as lifelong learning, critical thinking, creativity, and management. These skills help students develop flexibility and adaptability to changing industries and the labor market under the impact of AI.
Another challenge is how to ensure that Vietnam's AI workforce meets the evolving needs of the market.
Within the framework of the AI human resource training project for international standards, led by the University of Science , Ho Chi Minh City, we have proposed eight main tasks and solutions regarding formal training from undergraduate to doctoral levels, non-formal training, infrastructure investment, development of open educational resources, workforce development, scholarship provision, and promotion of international integration.
Among these solutions, training highly qualified personnel at the doctoral level and retaining talent to serve domestic development needs is considered a fundamental solution.
Without implementing these solutions effectively, Vietnam will be unable to possess core technologies and crucial AI platforms. As a result, we will become dependent on AI technologies, solutions, and inference-as-a-services provided by large foreign corporations, and we will only focus on developing applications based on existing AI platforms.
Source: https://thanhnien.vn/de-viet-nam-phat-trien-nhan-luc-ai-185250205222636675.htm
