This chapter presents a reflective and critical commentary on the integration of artificial intelligence (AI) into the internationalization strategies of Australian higher education. Drawing on existing literature, relevant policy frameworks, and illustrative examples of documented practice, it examines how AI is reshaping classrooms, student recruitment and support, collaborative research, and knowledge exchange. While AI offers significant potential to enhance inclusivity, efficiency, and the global reach of Australian universities, it also raises ethical, governance, and equity challenges, including risks of data privacy breaches, algorithmic bias, and digital inequality. The chapter argues that AI adoption must be guided by principles of fairness, transparency, and partnership, ensuring technology complements rather than replaces human and intercultural dimensions of international education. It highlights the need for robust governance aligned with national standards, participatory policymaking involving diverse stakeholders, and sustained commitment to equity in global engagement. The discussion concludes with recommendations for context-sensitive, ethical, and inclusive AI integration, providing a conceptual foundation for future research and responsible implementation.

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Artificial Intelligence and Internationalization: Opportunities and Challenges for Australian Higher Education

  • Ritesh Chugh,
  • Rabin Tuladhar,
  • Shehan Thampapillai,
  • Mahdi Shariatian

摘要

This chapter presents a reflective and critical commentary on the integration of artificial intelligence (AI) into the internationalization strategies of Australian higher education. Drawing on existing literature, relevant policy frameworks, and illustrative examples of documented practice, it examines how AI is reshaping classrooms, student recruitment and support, collaborative research, and knowledge exchange. While AI offers significant potential to enhance inclusivity, efficiency, and the global reach of Australian universities, it also raises ethical, governance, and equity challenges, including risks of data privacy breaches, algorithmic bias, and digital inequality. The chapter argues that AI adoption must be guided by principles of fairness, transparency, and partnership, ensuring technology complements rather than replaces human and intercultural dimensions of international education. It highlights the need for robust governance aligned with national standards, participatory policymaking involving diverse stakeholders, and sustained commitment to equity in global engagement. The discussion concludes with recommendations for context-sensitive, ethical, and inclusive AI integration, providing a conceptual foundation for future research and responsible implementation.