Ensuring Integrity in AI Research: Frameworks for Assessing Validity and Reliability of GenAI Outputs
Author:
- 4 March 2025
- journal article
- Published by Taylor & Francis in The Clearing House: A Journal of Educational Strategies, Issues and Ideas
- Vol. 98 (2) , 72-84
Abstract
No abstract availableThis publication has 46 references indexed in Scilit:
- CoURAGE: A Framework to Evaluate RAG Systems2024
- Requirements Engineering Using Generative AI: Prompts and Prompting Patterns2024
- Generative artificial intelligenceElectronic Markets, 2023
- Humans as Creativity Gatekeepers: Are We Biased Against AI Creativity?Journal of Business and Psychology, 2023
- Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendationsAsia Pacific Journal of Management, 2023
- The Turing Test is a Thought ExperimentMinds and Machines, 2022
- Promoting Rigorous Research: Generalizability and Qualitative ResearchJournal of Counseling & Development, 2021
- Text Generation and Enhanced Evaluation of Metric for Machine Translation2021
- Twenty Years Beyond the Turing Test: Moving Beyond the Human Judges TooMinds and Machines, 2020
- The Ethical Implications of Using Artificial Intelligence in AuditingJournal of Business Ethics, 2020