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Challenges of Integrating AI in Education
Abstract
Sociology and education have been left behind by advancements in artificial intelligence (AI). The fields of science, engineering, technology, and mathematics (STEM), as well as human-facing disciplines, have undergone profound shifts due to the integration of AI. Yet, unprecedented challenges remain, such as the obsolescence of competencies, intentionally or unintentionally programmed biases, misuse of AI tools, and other educational AI-enabled technologies. This can harm the integrity of education and fuel the stagnation of innovative development in education. The discussion steers toward significant implications AI integration brings with it for educators, learners, and policymakers. AI has become a tool for tangible innovation in transforming teaching and educating learners, but controlling its misuse needs a commensurate policy risk strategy. The chapter presents approaches to mitigate risks that encourage the ethical use of AI foster the so-called human component-led growth in system design.
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