GEN Ai use at the graduate level: Master's and PhD students

This lecture explores Generative AI's transformative role in graduate research, covering core concepts, productivity enhancements, ethical considerations, and academic applications. Topics include citation practices, challenges like biases and over-reliance, and integrating AI into academic work responsibly. Case studies, such as urban heat mapping, demonstrate practical applications. Discussions will address ethical implications, AI misuse, and future trends in academia. Participants are...