Affiliation:
1. SUNY New Paltz, USA
2. St. John's University, USA
Abstract
This chapter provides a comprehensive exploration of generative artificial intelligence (AI), particularly focusing on its implications and applications in higher education. It discusses the evolution and fundamental concepts of AI, including large language models and their development, emphasizing the intricate processes involved in creating and refining these models. The chapter delves into the ethical considerations and potential biases inherent in AI systems, highlighting the importance of responsible AI development. Moreover, the chapter examines the transformative potential of generative AI in enhancing learning, creativity, and information processing in higher education settings.
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