Ethics and responsible practice in intelligence augmentation research

Kudzayi Savious Tarisayi

Chapter 11 in Artificial Intelligence in Postgraduate Research Methodology, 2026, pp 200-217 from Edward Elgar Publishing

Abstract: This chapter explores the ethical considerations and responsible practices crucial to intelligence augmentation research, focusing on AI integration in academia. It addresses challenges like AI hallucinations and synthetic content, emphasizing the need for strategies to detect and reduce misinformation. The discussion highlights evolving academic integrity norms and accountability frameworks in AI-augmented methodologies. Privacy and data security issues are examined within current debates on data governance and participant protection. The chapter also warns against overreliance on AI, which may lead to skill degradation, advocating for balanced approaches that maintain human expertise. Drawing on ethical theory and practical guidelines, it proposes best practices for transparent, fair, and reflective AI use in research. By combining theoretical insight with actionable recommendations, this chapter offers a comprehensive framework to navigate the ethical landscape of intelligence augmentation, supporting policy and methodological advancement in AI-enhanced scholarship.

Keywords: Ethics in AI; Intelligence Augmentation; Academic Integrity; AI Hallucinations; Privacy and Data Security; Skill Atrophy; Responsible AI Use (search for similar items in EconPapers)
Date: 2026
ISBN: 9781049408323
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