The use of Artificial Intelligence (AI) in Data Collection |
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| Coordinator 1 | Mrs Joanne Groves (Office for National Statistics) |
Artificial Intelligence (AI) is a field of computer science that aims to create systems that perform tasks requiring human intelligence.
AI has moved into the domain of data collection, including the application and development of questionnaires, chatbot interviewers and generation and analysis of data. Its use is perceived as a time and resource saving tool or as having another expert in the room that can discover new perspectives and topics. However, the risks associated with it include:-
• Bias, error and uncertainty.
• Lack of transparency of data collection process.
• Ethical, legal, and social issues, such as privacy, consent, ownership, and accountability.
• Negative impact on the human role, interaction, and trust.
This session is for researchers working in data collection and survey design/testing. It aims to:-
• Explore the benefits and risks of using AI in:-
o Creating a data collection tool such as a survey.
o Collecting the data itself.
o Summarising and analysing findings.
• Share best practice in the use of AI, including quality assuring results it generates.
We are particularly interested in abstracts about applications of AI at any stage of the data collection process; examples of where AI might have been used are listed below:-
• To generate survey questions or questionnaires.
• To assist participants in completing online questionnaires.
• In data collection, e.g. Chatbots as interviewers or Chatbots as participants answering questions based on assumed characteristics.
• Producing transcripts and/or interview or focus group summaries.
• Analysing qualitative data.
• Comparing the results of using AI in any stage of the qualitative data collection process, with traditional qualitative data collection methods.
• Quality assurance of AI processes/results.
Please consider this as a session. I am aware of other researchers I can approach for abstracts and have an abstract (possibly two) of my own to submit.