AI and research ethics: Data privacy and confidentiality

In this episode Lisa and Tom discuss the ethical implications of using AI in qualitative research, focusing on data privacy and confidentiality. You learn about general ethical standards for research, particularly highlighting the importance of legal compliance, informed consent, data protection, and the principle of non-harm. We then take a look at anonymization and pseudonymisation and how teese relate to privacy laws, especially GDPR.

In this episode, we provide you with practical guidance on crafting comprehensive confidentiality agreements for research participants, outlining key components to ensure the ethical use of AI in data collection and analysis.

Here are some of the resources we are talking about in the podcast:

Off-line Transcription Tools

noSribe

aTrain (Windows only)

Buzz

Templates for drafting a confidentiality agreement for your resarch participants when intending to use AI tools:

Englisch: AI-Focused Confidentiality and Consent Agreement Template

German: Vertraulichkeitserklärung für Forschungsteilnehmende bei KI Nutzung

This episode is based on the following blog by Dr Susanne Friese

Naviating Ethics in AI-Driven Qualitative Research - Part 1:

Data Privacy and Confidentiality Agreements