在高等教育中利用人工智能的时代：面向高等教育利益相关者的入门指南

UNESCO AI Primer for Higher Education: Summary

Core Content

This document, Harnessing the Era of Artificial Intelligence in Higher Education: A Primer for Higher Education Stakeholders, is a comprehensive guide published by UNESCO IESALC in 2023. It outlines the role of artificial intelligence (AI) in higher education (HE), its potential benefits, challenges, and ethical implications. The publication is intended to support HE stakeholders in understanding and responsibly integrating AI into their institutions.

Main Views

• Education as a Priority: Education is a fundamental human right and a cornerstone of peace and sustainable development. UNESCO, as the UN specialized agency for education, leads the global effort to ensure inclusive and equitable education through the Education 2030 Agenda, which is part of the broader Sustainable Development Goals (SDGs).

• AI in Higher Education: AI is transforming HE in various ways, including learning, teaching, assessment, administration, and research. It has the potential to enhance personalized learning, improve academic integrity, and support students with disabilities.

• Ethical and Inclusive Use: The document emphasizes the ethical use of AI, highlighting the need for policies that address bias, privacy, and the broader implications of AI on society and the environment. It underscores the importance of gender equality and the inclusion of diverse perspectives in AI development.

• Global Inequality: The distribution of AI technologies is uneven globally, with significant disparities between developed and resource-constrained regions. This inequality affects access to education and the ability of HEIs to benefit from AI advancements.

• Practical Integration: A detailed Practical Guide is provided to help HEIs integrate AI responsibly, focusing on capacity building, policy development, pedagogical innovation, and community engagement.

Key Information

Understanding AI

• AI is defined as the imitation of human intelligence, including perception, learning, reasoning, problem-solving, and creative work.
• AI is categorized into Artificial Narrow Intelligence (ANI) and Artificial General Intelligence (AGI), with ANI being the current form and AGI still theoretical.
• AI has predictive and generative functions, with the latter being particularly relevant in content creation.
• AI has seen exponential growth in research and development, with a significant increase in publications and private investment.

AI in Learning, Teaching, and Assessment

• AI supports personalized learning by providing adaptive instruction, feedback, and course recommendations.
• It enhances inclusion and wellbeing for students with disabilities and those from marginalized backgrounds.
• AI tools such as robot-graders and chatbots are increasingly used in assessment and support.
• Learning analytics use AI to monitor student progress and improve educational outcomes.
• AI raises concerns about academic integrity and the future of assessment.

AI in Administration and Management

• AI is being integrated into HEI administrative functions such as admissions, student services, library, marketing, and finance.
• It can help identify at-risk students and support proactive interventions.
• AI reduces the burden of high-volume administrative tasks, but requires training and cultural adaptation for successful implementation.

AI in Research

• AI supports the entire research lifecycle, from design to data analysis and dissemination.
• It enables pattern recognition and data-driven insights, which are critical for addressing SDGs.
• However, there are ethical challenges, including bias in data and the risk of undermining originality in research.
• AI tools can be used for interdisciplinary research, and HEIs should foster collaboration and ethical standards.

Key Challenges

• Global Inequality: AI development is uneven, with significant gaps in resource-constrained regions.
• Bias and Inclusion: AI can both reduce and scale bias, particularly in data labeling and dataset selection.
• Sustainability: AI systems consume large amounts of resources, raising environmental concerns.
• Gender and Diversity: The underrepresentation of women in STEM fields affects AI development and application, contributing to structural inequalities.

Ethics of AI in Higher Education

• UNESCO's Recommendation on the Ethics of Artificial Intelligence (2021) provides a framework for ethical AI development and use.
• The document emphasizes the need for data governance, algorithmic transparency, and ethical training for students and staff.
• AI's role in decision-making and knowledge production requires careful oversight to prevent discrimination and ensure fairness.

Practical Guide for AI Integration

• The guide outlines six key recommendations for HEIs:
  1. Build internal capacity for AI implementation.
  2. Develop a policy framework for AI use.
  3. Innovate in pedagogy and skills training.
  4. Promote AI research and application.
  5. Mobilize knowledge and communities around AI.
  6. Improve gender equality in AI and HE.
• It is designed to be flexible and adaptable to different institutional and regulatory contexts.
• The guide includes actionable steps for AI audits, ethical training, and inclusive policy development.

Recommendations for Governments and Policymakers

• Enhance AI literacy among policymakers.
• Foster interdisciplinary and cross-sectoral dialogue on AI issues.
• Regulate AI with a focus on ethical and safety implications.
• Fund AI and ethics education in HE.
• Support interdisciplinary AI research and international collaboration.
• Ensure HEIs have the necessary infrastructure for AI deployment.
• Update quality assurance processes to include AI ethics.
• Promote critical thinking as a meta-skill across all curricula.
• Address marginalization in AI based on gender, race, and other factors.

Conclusion

This Primer highlights the transformative potential of AI in higher education, while also addressing the ethical, social, and structural challenges that come with its integration. It serves as a foundational resource for HEIs, policymakers, and stakeholders to guide the responsible and equitable use of AI in education, with a focus on sustainability, inclusion, and the future of learning.