Keynote Lecture | Dr. Brian Ballsun-Stanton (Macquarie University): Briefing on the Guidance Note on Generative AI in Research at Macquarie University
- https://www.uni-giessen.de/en/faculties/ggkgcsc/events/semester-overview/sose2024/weitere-veranstaltungen/keynote-briefing-on-the-guidance-note
- Keynote Lecture | Dr. Brian Ballsun-Stanton (Macquarie University): Briefing on the Guidance Note on Generative AI in Research at Macquarie University
- 2024-07-19T12:00:00+02:00
- 2024-07-19T13:00:00+02:00
Jul 19, 2024 from 12:00 to 01:00 (Europe/Berlin / UTC200)
Briefing on the Guidance Note on Generative AI in Research at Macquarie University: The pragmatics of use and abuse of frontier generative AI models like Claude 3 Opus and GPT-4 Turbo
Macquarie has published a Guidance Note for Using Generative AI in Research. In this keynote, Dr Brian Ballsun-Stanton will explain the policy advice this note provides, and discuss the benefits and risks of this evolving technology. In summary: we may use it as part of our research and writing workflows - so long as we are mindful of the risks of using it as a tool. Do not treat this tool like a search engine -- but instead as a "calculator for words." For background on this technology, you can access a recording of Brian’s introduction workshop here: <https://www.youtube.com/watch?v=c3_P7fVjiK8>.
The keynote will also address pre-submitted audience questions. Please send your questions to Lena (lena.nuechter@gcsc.uni-giessen.de) until 11 July.
// Dr. Brian Ballsun-Stanton is the Macquarie University Faculty of Arts' Solutions Architect (Digital Humanities). He is a technologist working as a peer with researchers across the faculty and university on digitally enabled research. With a BS and MS in Information Technology and a PhD in the Philosophy of Data, he is guiding the faculty and university in this crazy new world of "Generative AI." He has given workshops across Europe and Australia about how to think about and use Generative AI tools. He is collaborating with researchers in Philosophy, Law, Security Studies, Languages, and Ancient History around how to use and apply Large Language Models to research problems and undergraduate teaching, and designs and delivers technical solutions for academic and student research projects.