The Impact of Artificial Intelligence on Research Integrity: Challenges and Opportunities
Type
applied research project
Start Date
August 1, 2025
End Date
July 31, 2027
Keywords
Artificial Intelligence
Canada
China
Kazakhstan
Research Integrity
Description
This project will explore the impact of artificial intelligence (AI) on research integrity in Canada, China, and Kazakhstan. Its aim is to understand how faculty, university staff, representatives of national funding bodies, academic societies, and journals deal with AI-related misconduct. By engaging in international collaboration and comparing data from three countries that are diverse in terms of technological advancement, research capacity, ethics regulations, democracy, and languages, this project will produce several results: (1) a position paper with key insights from the analysis and recommendations for the various stakeholders; (2) guidelines for developing training programs to educate faculty, students, and administrators on the responsible use of AI; (3) an online network of research and policy experts who specialize in the research integrity of AI-facilitated research.
Leader contributor(s)
Member contributor(s)
Kuzhabekova, Aliya
Xu, Zhaoheng
Funder
Method(s)
mixed-methods study
Notes
Movetia
Range
HSG + other universities
Division(s)
3 results
Filters
Settings
Now showing 1 - 3 of 3
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Item type:Publication, Beyond plagiarism: Why universities need AI governance, not just misconduct rulesAs artificial intelligence becomes embedded in teaching, research, and university administration, the ethical challenge is no longer limited to plagiarism and cheating. Higher education institutions now need governance frameworks that address disclosure, data protection, accountability, and institutional responsibility across the whole university system.Type:digital resource - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, AI in Higher Education: From Regulation to Institutional Capacity(Werklund School of Education Research & Publications, 2026-05-16); ;Kuzhabekova, AliyaXu, ZhaohengType:digital resource