Collaborative frameworks between countries and scientific institutions need to be created to develop coherent international ethical standards for AI research.
Research gap analysis derived from 6 education papers in our local library.
The gap
Collaborative frameworks between countries and scientific institutions need to be created to develop coherent international ethical standards for AI research.
Consensus across the literature
Clustered from 6 gap mentions across 6 papers via embedding cosine ≥ 0.62.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 6 representative gaps
- Systematic Literature Review on Students’ Perceptions of Ethical AI: Fairness, and Regulatory Understanding (2026) · doi
Clear guidelines on ethical AI use, including comprehensive training protocols for both educators and students on appropriate use, need to be established but are currently undefined.
Keywords: clear guidelines ethical including comprehensive training protocols educators students appropriate need established currently undefined - Responsible Utilisation of AI in Academic Research Strategies for Preserving Scientific Integrity and Quality (2026) · doi
Collaborative frameworks between countries and scientific institutions need to be created to develop coherent international ethical standards for AI research.
Keywords: collaborative frameworks countries scientific institutions need created develop coherent international ethical standards - THE IMPACT OF AI IN EDUCATION (2026) · doi
Challenges in universities may span protecting ethical guidelines, safeguarding student data, or guaranteeing access for all students, which need to be addressed before AI-led education systems are deployed.
Keywords: challenges universities span protecting ethical guidelines safeguarding student guaranteeing access students need addressed education systems - Students' Experiences of Learning Authenticity in Artificial Intelligence Assisted Academic Work (2026) · doi
Higher education institutions need to develop guidelines for the use of AI in academic activities, but the effectiveness and implementation of such guidelines remain under-explored.
Keywords: guidelines higher education institutions need develop academic activities effectiveness implementation remain explored - Editorial: AI innovations in education: adaptive learning and beyond (2026) · doi
Future progress in AI for education will depend not only on evolving algorithms but also on constructive, human-centric, contextually sensitive, and ethically framed conditions under which technologies are designed, deployed, and assessed
Keywords: future progress education depend evolving algorithms constructive human centric contextually sensitive ethically framed conditions technologies - Artificial Intelligence (AI) Dalam Pendidikan Islam: Peluang, Tantangan, Dan Etika Keislaman (2026) · doi
The paper emphasizes the importance of ethical guardrails based on Islamic principles (justice, amanah, responsibility) for AI use in Islamic education, but does not operationalize how these abstract ethical principles should be translated into concrete algorithmic constraints, bias detection protocols, or monitoring mechanisms for AI systems.
Keywords: Islamic ethics AI governance algorithmic bias amanah justice responsibility Islamic education ethical framework
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