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AI in Education: Ethical Challenges and Opportunities

AI in Education: Ethical Challenges and Opportunities
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Author(s): Ashok Singh Gaur (Noida Institute of Engineering and Technology, India), Hari Om Sharan (Rama University, India)and Rajeev Kumar (Moradabad Institute of Technology, India)
Copyright: 2024
Pages: 16
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.ch003


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As artificial intelligence (AI) continues to advance, its integration into the field of education presents both promising opportunities and ethical challenges. This chapter explores the multifaceted landscape of AI in education, examining the ethical considerations associated with its implementation. The opportunities encompass personalized learning experiences, adaptive assessment tools, and efficient administrative processes. However, ethical concerns arise regarding data privacy, algorithmic bias, accountability, and the potential exacerbation of educational inequalities. Artificial intelligence is a field of study that combines the applications of machine learning, algorithm production, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors.

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