Academic Hallucinations in the Age of Artificial Intelligence: Causes, Consequences, and Mitigation Strategies

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@article{1724324,
      author = {Ofor Chibe},
      title = {Academic Hallucinations in the Age of Artificial Intelligence: Causes, Consequences, and Mitigation Strategies},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {4},
      pages = {4640-4664},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724324.pdf},
      abstract = {This study examines the causes, consequences, and mitigation strategies of academic hallucinations in the age of artificial intelligence. A mixed-methods research design is used, combining a survey of university lecturers, postgraduate students, and researchers with in-depth interviews involving journal editors, librarians, and AI experts. Quantitative data are analyzed using descriptive statistics, while qualitative data are subjected to thematic analysis. The findings indicate that inadequate AI literacy, poor prompt design, overreliance on AI-generated content, and the absence of institutional guidelines are major causes of academic hallucinations. The study further reveals that hallucinations contribute to fabricated citations, misinformation, reduced research credibility, ethical concerns, and declining public trust in scholarly communication. The study identifies effective mitigation strategies, including AI literacy training, prompt engineering, mandatory human verification, institutional AI policies, and the integration of AI detection and reference verification tools into academic workflows. The study contributes to the growing literature on responsible AI by proposing an integrated framework for minimizing academic hallucinations and strengthening research integrity. The findings provide practical recommendations for universities, researchers, publishers, and policymakers seeking to promote trustworthy and ethical AI-assisted academic research.},
      keywords = {artificial intelligence; academic hallucinations; research integrity; generative AI; higher education; prompt engineering; aI literacy},
      month = {October},
  }