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AI in Education: Ethical Challenges and Opportunities
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Author(s): Gurwinder Singh (Department of AIT-CSE, Chandigarh University, Punjab, India)and Anshika Thakur (Department of AIT-CSE, Chandigarh University, Punjab, India)
Copyright: 2024
Pages: 21
Source title:
The Ethical Frontier of AI and Data Analysis
Source Author(s)/Editor(s): Rajeev Kumar (Moradabad Institute of Technology, India), Ankush Joshi (COER University, Roorkee, India), Hari Om Sharan (Rama University, Kanpur, India), Sheng-Lung Peng (College of Innovative Design and Management, National Taipei University of Business, Taiwan)and Chetan R. Dudhagara (Anand Agricultural University, India)
DOI: 10.4018/979-8-3693-2964-1.ch002
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Abstract
Artificial intelligence (AI) offers transformative opportunities in education, promising personalized learning and streamlined tasks. However, its integration raises ethical concerns like algorithmic bias and data privacy. AI can revolutionize education by tailoring learning experiences and optimizing administrative tasks, yet it risks eroding student autonomy and perpetuating biases. To mitigate these challenges, transparent algorithms, robust data governance, and educator training are essential. Successful AI implementations demonstrate improved engagement and outcomes. Moving forward, collaborative efforts are crucial to navigate ethical complexities and ensure AI enhances education responsibly, fostering equity and inclusivity.
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