This introductory workshop provides students in the humanities and arts with a foundational understanding of generative AI models (specifically large language models, or LLMs) and their applications for bachelor's and master's thesis research and writing. Participants will learn how to use AI chat interfaces to enhance their work while maintaining academic integrity.
Knowledge:
Understand the basic principles and mechanisms of LLMs.
Gain familiarity with the range of potential AI-powered tools.
Explore ethical considerations in using generative AI for academic work.
Skills:
Learn to prompt and interact with generative AI models.
Develop strategies for effectively integrating AI-generated output into thesis work.
Competencies:
Critically evaluate the appropriateness of using generative AI in different thesis contexts.
Recognize and refine AI-generated text to maintain your own academic voice.
Building on the introductory workshop, this session delves into more sophisticated uses of generative AI for advanced thesis work. It's designed for students who have a basic grasp of LLM interactions and want to leverage these tools strategically throughout their research and writing process.
Knowledge:
Understand the strengths and limitations of LLM tools for nuanced disciplines in the arts and humanities.
Develop a critical awareness of how AI models are trained and the potential biases to watch for.
Skills:
Experiment with fine-tuning prompts for specialized tasks.
Learn methods to curate large volumes of AI-generated output.
Develop techniques to use AI tools as a critical thinking partner.
Competences:
Become adept at identifying tasks where AI adds value vs. where traditional research is essential.
Foster confidence in using generative AI ethically and transparently within your thesis work.