This follow-up to the previous “Introduction to AI/ML/LLM for Humanities and Social Science” workshop builds upon the skills and techniques of using and implementing AI to discuss the technology’s social, ethical, and political ramifications, along with guidelines to using AI for research and teaching.
The workshop will address critical ethical concerns surrounding AI, including bias, the network effects of dis- and misinformation, and the authenticity of historical records and provide illustrative use case examples. Discussions will highlight issues of fairness, intellectual property, and academic integrity, drawing from key scholarship in algorithmic ethics and data justice.
By the end of the session, participants will gain a foundational understanding of AI’s role in the humanities, along with practical tools and frameworks for critically engaging with these technologies in their own research and teaching. The workshop will devote significant time to group discussion, where participants’ specific concerns and questions about the ethical and practical use of AI can be addressed.
Participants are also encouraged to reach out to the workshop organizers in advance with any questions or topics of interest, which will be integrated into the workshop.
Hybrid Workshop (OARC Portal and Zoom):
- In-person: Math Sciences 5628
- Zoom: Link will be emailed to you
