Navigating Qualitative AI: Ethical, Methodological, and Practical Considerations - Module 1: Mindsets for considering the use of AI for Qualitative Research - Online
Date:
30/09/2026 - 01/10/2026
Organised by:
NCRM, University of Southampton
Presenter:
Dr Christina Silver, PhD. SFHEA, FAcSS
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 - 30 September 2026 (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 - 1 October 2026 (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 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 - 12 and 13 Oct
Module 3 - Integrating Generative-AI tools into qualitative analysis processes - 16 and 18 Nov
Cost:
The fee per teaching day is:
• £60 per day for students registered at any University.
• £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
All fees include event materials and morning and afternoon refreshments. Fees do not include lunch, travel or accommodation costs.
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
