Navigating Qualitative AI: Ethical, Methodological, and Practical Considerations - Module 1: Mindsets for considering the use of AI for Qualitative Research - Online
Date:
11/02/2027 - 12/02/2027
Organised by:
NCRM, University of Southampton
Presenter(s):
Dr Christina Silver, PhD. SFHEA, FAcSS is an Associate Professor (Teaching) in the Faculty of Social Sciences (Sociology) at the University of Surrey, UK, and since 2023 Director of the CAQDAS Networking Project (CNP). She joined the CNP in 1998, which from 1994 has provided impartial information, advice and training in software designed for qualitative data analysis. Christina also co-founded, with Ann Lewins, Qualitative Data Analysis Services (QDAS), which provides customised analytic consultancy for teams and individuals. Christina’s interests are in the relationship between technology and methodology, and the teaching of computer-assisted qualitative analysis. She has published widely on these topics, including co-developing the CAQDAS pedagogy: Five-Level QDA with Nicholas Woolf. She is experienced in using a range of digital tools to enact methods across academic disciplines, and in applied, government and commercial contexts. Christina’s recent work has focused on enabling researchers to navigate the terrain of Artificial Intelligence (AI) in qualitative research encouraging balanced and critical perspectives about its potential role. This includes when the use of AI, particularly generative forms, is not appropriate, and when it might be. Christina is widely seen as a leading voice on methodologically-informed use of CAQDAS-packages and balanced and critical engagement with the implications of Generative-AI on qualitative research
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Coordinator, National Centre for Research Methods, University of Southampton
Email: jmh6@soton.ac.uk
Venue: Online
Course Overview
Navigating Qualitative AI: Ethical, Methodological and Practical Considerations
The Navigating Qualitative AI course provides an introduction into developments, debates and practicalities in the role and use of Generative AI in Qualitative Research. The course is split into three modules combining synchronous and asynchronous learning to provide a comprehensive introduction to the principles, practices and ethics of using AI tools to facilitate the analysis of qualitative materials.
Module 1: Mindsets for considering the use of AI for Qualitative Research
Module 2: Harnessing Generative-AI tools for qualitative analysis
Module 3. Integrating Generative-AI tools into qualitative analysis processes
Choose from three pathways through the course according to your interests and needs (note, to take Module 2 or 3 it is a pre-requisite to have first completed Module 1):
- Pathway 1 – Module 1 only
- Pathway 2 – Module 1 and 2
- Pathway 3 – Module 1 and 3
Module 1. Mindsets for considering the use of AI for Qualitative Research
(Synchronous Delivery = lectures, illustration, and discussion)
This module provides essential context to considering the potential use of AI in qualitative projects, focusing on the current landscape of AI tools and their impact on qualitative research practice. Practical, ethical and methodological implications are discussed in relation to the contexts in which research and evaluation happen.
The course covers:
The landscape of Qualitative AI - 11 February 2027 (13:30-16:45)
- development of AI tools in qualitative research spaces
- ethical considerations and how to navigate them
- methodological consequences when using AI for qualitative analysis
Critically engaging with the Qualitative AI space - 12 February 2027 (13:30-16:45)
- potential uses of AI throughout the qualitative workflow
- genres of AI tools for qualitative data analysis
- when the use of AI is - and is not - methodologically appropriate
By the end of the course participants will:
- Understand historical contexts of current developments in AI within in the Qualitative Research field
- Understand the range of ethical issues involved in using AI for Qualitative Research and how to navigate use in appropriate ways
- Possess critical thinking skills around the role of AI in different Qualitative Research contexts
This course is aimed at students and researchers interested in qualitative analysis, within any sector or discipline.
The course takes places over two afternoons (11 and 12 February) and equates to one teaching day for payment purposes.
This page is for Module 1: Mindsets for considering the use of AI for Qualitative Research.
If you wish to register for Modules 2 or 3, please do so here:
Module 2 - Harnessing Generative-AI tools for qualitative analysis - 3 and 4 February
Module 3 - Integrating Generative-AI tools into qualitative analysis processes - 22 and 23 February
Cost:
The fee per teaching day is:
• £60 per day for students registered at any University (PhD, Masters or Undergraduate levels).
• £150 per day for staff at academic institutions, Research Councils researchers, public sector staff and staff at registered charity organisations and recognised research institutions.
• £350 per day for all other participants.
In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.
If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs.
The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Region:
South East
Keywords:
Qualitative Data Handling and Data Analysis, Qualitative Software, Qualitative AI, Qualitative Data Analysis, Qualitative methods, Artificial Intelligence (AI), Generative AI
Related publications and presentations from our eprints archive:
Qualitative Data Handling and Data Analysis
Qualitative Software