This chapter delves into the ethical considerations surrounding the utilization of generative artificial intelligence (AI) for global knowledge sharing in higher education. As AI technologies continue to advance, their potential for transforming the educational landscape is becoming increasingly evident. However, the ethical implications of employing generative AI in this context warrant careful examination. The study explores the ethical dimensions related to the use of generative AI in higher education, focusing on issues such as data privacy, algorithmic bias, intellectual property rights, and the impact on human creativity and critical thinking. The findings of this study contribute to the ongoing discourse on the ethical implications of utilizing generative AI in higher education. By addressing these considerations, educators and policymakers can make informed decisions regarding the implementation of generative AI technologies, fostering a responsible and inclusive approach to global knowledge sharing in the higher education sector.
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In recent years, technological advancements have led to a swift and profound transformation within the realm of higher education.Generative artificial intelligence (AI) stands out as a technological innovation with immense potential for facilitating global knowledge sharing. Generative AI harnesses algorithms and machine learning methodologies to generate original content across various mediums, encompassing text, images, and multimedia (Ray, 2023). This chapter starts to provide a comprehensive background and emphasize the importance of incorporating generative AI into higher education for global knowledge sharing, while also considering the ethical implications (Zembylas, 2023).
Generative AI has emerged as a formidable asset in the field of higher education, facilitating seamless knowledge sharing and collaboration among educators and learners, transcending geographical boundaries (Nemorin et al., 2023). It breaks down traditional limitations of time and space, allowing for real-time collaboration and knowledge exchange among students and educators from various backgrounds. This cutting-edge technology has the potential to completely transform the creation, dissemination, and access to knowledge in higher educational institutions worldwide. Generative AI promotes global collaboration and knowledge sharing by enabling learners and educators to contribute their unique perspectives and insights to a collective pool of knowledge. Through AI-generated content, learners can engage in interactive discussions, co-create knowledge, and benefit from a diverse range of perspectives. This fosters a global learning community that transcends cultural and geographical barriers, fostering a deeper understanding and appreciation of different perspectives and cultures (Horwitz & Cecilia, 2012).
Language barriers have always been a challenge in global knowledge sharing. However, generative AI has the potential to overcome these barriers by providing real-time translation and language support. AI-powered language models can assist in translating content, facilitating communication, and ensuring inclusivity in global knowledge sharing initiatives (Javaid et al., 2023). This not only enhances accessibility but also promotes cross-cultural understanding and collaboration. Generative AI opens up new possibilities for innovation and creativity in higher education. By leveraging AI algorithms, learners can explore new ideas, experiment with different approaches, and generate unique solutions to complex problems (Peters, 2020). This technology empowers learners to think critically, engage in creative problem-solving, and develop innovative solutions that can address global challenges. In addition, generative AI has the potential to assist teachers in producing customized learning experiences that fulfil the specific requirements of individual learners/students. This can lead to a more immersive and impactful learning environment, enhancing student engagement and overall effectiveness.