Generative AI (GenAI) for research and writing

Introduction

Key terms:generative AI (GenAI), Large Language Modules (LLM), ChatGPT, introductory course, relevant for students in any PhD phase.

ECTS: 2
Number of session: 3
Hours per session: 3

With the rapid adoption of AI tools like ChatGPT since November 2022, it has become essential for students to understand both the potential benefits and the limitations of these technologies. The misuse of GenAI can risk academic integrity violations but can also lead to misunderstandings about what constitutes proper research and writing practices within the university.

This course is aimed at providing PhD candidates with an introduction to using Generative AI during the course of their studies and research by providing clear guidance on the limitations and potential of GenAI while also making clear university policy on GenAI. Students will gain a foundational understanding of where GenAI can fit into academic research.

The class meetings comprise lectures, group discussions and exercises, which are supported by work prepared both by the students and lecturer prior to the session.

Please note that you will need a laptop in all 3 sessions to take notes and participate in the exercises.

Entry level and relevance

This is an introductory course. It is designed for people who have no or limited experience with GenAI. No prior knowledge or experience with GenAI is required. The course is useful for researchers in all phases of their PhD trajectory. 

Relations with other courses

This course complements the EGSH course Designathon AI in transdisciplinary research by offering a foundational understanding of GenAI tools that can support collaborative, transdisciplinary projects.

Moreover, GenAI literacy and skills are or might become relevant to key themes that are discussed in other methods and skills courses offered by EGSH, including designing research and reviewing literature.

Sessions and preparations

Session 1: Generative AI: What is it, how to use it, and university policy
In the first session we will discuss how generative AI systems operate focusing on Large Language Modules, how these systems work and produce the texts, and an introduction to prompt engineering. We will as well cover the university policy for PhD candidates on the use of Generative AI.
Preparations: Bring a laptop with access to ChatGPT or other GenAI.  

Session 2: Researching and writing with Generative AI
In session 2 we will discuss the practical applications of Generative AI for both research and writing. We will also look at the limitations of using these systems through practical examples to hone in on where they can fit into your research process.
Preparations: Summaries of your master’s thesis created by multiple GenAI.

Session 3: Testing the limits of Generative AI
The final session will be a discussion of the limitations of Generative AI based on the AI generated research papers which you will create. Each student will present the results of their AI generated research along with the issues and errors in those papers.
Preparations: Bring in AI generated research paper for discussion.