Sukrit Venkatagiri is an Assistant Professor in the Department of Computer Science at Swarthmore College. His research interests are in social computing and mis/disinformation studies, where he explores the ethical design of technology. At Swarthmore College, he directs the Collective Resilience Lab to help people resist strategic misinformation and other types of technologically-mediated harm, build sociotechnical systems to repair trust in each other and our institutions, and empower people to advocate for their rights while refusing harmful data and labor practices.
Generative AI is revolutionizing higher education by personalizing learning materials, automating administrative tasks, and aiding research. It adapts content to individual student needs and offers rapid feedback on assignments. However, there are challenges to address. Privacy concerns arise with the use of AI for student data analysis. Maintaining the quality of AI-generated content and avoiding biases is another concern. Moreover, implementing this technology can be costly and necessitates faculty training. Striking a balance between automation and human interaction is crucial. Despite these challenges, generative AI holds enormous potential to enhance higher education, fostering more efficient, tailored, and data-driven learning experiences.
Note: Given the topic of this podcast episode, the description was generated using AI technology.
Learn more about CITI Program: https://about.citiprogram.org/
Sukrit Venkatagiri is an Assistant Professor in the Department of Computer Science at Swarthmore College. His research interests are in social computing and mis/disinformation studies, where he explores the ethical design of technology. At Swarthmore College, he directs the Collective Resilience Lab to help people resist strategic misinformation and other types of technologically-mediated harm, build sociotechnical systems to repair trust in each other and our institutions, and empower people to advocate for their rights while refusing harmful data and labor practices.
Generative AI is revolutionizing higher education by personalizing learning materials, automating administrative tasks, and aiding research. It adapts content to individual student needs and offers rapid feedback on assignments. However, there are challenges to address. Privacy concerns arise with the use of AI for student data analysis. Maintaining the quality of AI-generated content and avoiding biases is another concern. Moreover, implementing this technology can be costly and necessitates faculty training. Striking a balance between automation and human interaction is crucial. Despite these challenges, generative AI holds enormous potential to enhance higher education, fostering more efficient, tailored, and data-driven learning experiences.
Note: Given the topic of this podcast episode, the description was generated using AI technology.
Learn more about CITI Program: https://about.citiprogram.org/