A Panel Discussion with Faculty Members from the Data Science Program

Keith Gamble (Economics), Ryan Otter (Biology), Qiang Wu (Mathematics), Josh Phillips (CS), and John Wallin (Physics)

Artificial intelligence (AI) has made significant strides in recent years, and its impact on the basic and applied sciences has been significant. Language models such as ChatGPT, GitHub Copilot, and DALL-E 2 have shown exceptional performance in natural language processing and are being used to assist scientists and researchers in a variety of fields. However, as AI becomes more integrated into scientific research and data analysis, it is important to consider the broader implications of its use. This panel discussion will bring together experts from a variety of fields to explore the potential benefits and challenges of AI in the basic and applied sciences. Topics of discussion will include the ways in which AI is being used to assist scientists and researchers, the impact of AI on the scientific process, the ethical and societal implications of AI in the sciences, and how academic programs may need to be redesigned to adapt to the integration of AI in the field. Join us for a thought-provoking conversation about the future of AI in the basic and applied sciences, and specifically about the impact of ChatGPT, GitHub Copilot, and DALL-E 2 on the field.

Watch the video here.