Teacher professional development programs show dependency on individual initiatives with variable adoption rates; evidence-based models for sustainable, mandatory teacher training in ethical AI implem

The gap

Consensus across the literature

Supporting evidence — 4 representative gaps

• LETRAMENTO DIGITAL E TECNOLOGIAS NA EDUCAÇÃO: A INTELIGÊNCIA ARTIFICIAL NA INOVAÇÃO PEDAGÓGICA E METODOLOGIAS ATIVAS (2026) · doi

  The paper emphasizes that ethical dimensions (algorithmic bias, privacy, social equity) are transversal to digital and AI literacy but does not specify concrete curriculum frameworks or assessment protocols for integrating these ethical epistemological aspects into institutional pedagogical practices or teacher training programs.

  Keywords: ethical literacy algorithmic bias privacy digital citizenship curriculum framework teacher training assessment protocols
• Desafíos éticos y alfabetización en Inteligencia Artificial en el currículo de Bachillerato: Una revisión sistemática (2026) · doi

  Teacher professional development programs show dependency on individual initiatives with variable adoption rates; evidence-based models for sustainable, mandatory teacher training in ethical AI implementation with clear protocols for continuous updates are absent from secondary education literature.

  Keywords: teacher professional development AI literacy secondary education implementation protocols training sustainability
• Teachers’ perceptions of artificial intelligence in curriculum integration: opportunities, concerns, and professional development needs (2026) · doi

  The study identifies that teachers need ethical guidelines and frameworks addressing privacy, equity, and socio-emotional considerations, but does not specify which ethical frameworks should be prioritized or how context-specific implementation should vary across different educational levels and cultural settings in AI curriculum integration.

  Keywords: ethical guidelines AI integration privacy equity socio-emotional considerations context-specific implementation
• Role of Artificial Intelligence in Education: Transforming Learning in the Digital Era (2026) · doi

  The paper recommends embedding AI ethics, fairness, and accountability in educational curricula but does not specify what learning objectives students should master, what assessment methods should measure AI ethics literacy, or how to validate that ethics education actually influences subsequent AI system design practices.

  Keywords: AI ethics curriculum accountability transparency fairness learning objectives assessment