Table 1 Implementation challenges and...

Table 1

Implementation challenges and strategies for ethical AI framework adoption

Challenge	Description	Strategy
1. Resistance to Change	Teachers may see ethics as extra work or a threat to autonomy	Co-design with educators; show value; pilot first; share success stories
2. Resource Constraints	Schools may lack time, money, or expertise	Use open-source tools; partner with universities; phase rollout
3. Regulatory Uncertainty	Evolving laws create fear of liability	Align with current laws; seek legal advice; document ethical processes
4. Inconsistent Practice	Policies may not be applied uniformly	Create ethics committees; use audits; promote improvement, not punishment
5. Cultural Variation	Ethics differ across schools and regions	Start with shared principles; localise through examples and community norms

Challenge	Description	Strategy
1. Resistance to Change	Teachers may see ethics as extra work or a threat to autonomy	Co-design with educators; show value; pilot first; share success stories
2. Resource Constraints	Schools may lack time, money, or expertise	Use open-source tools; partner with universities; phase rollout
3. Regulatory Uncertainty	Evolving laws create fear of liability	Align with current laws; seek legal advice; document ethical processes
4. Inconsistent Practice	Policies may not be applied uniformly	Create ethics committees; use audits; promote improvement, not punishment
5. Cultural Variation	Ethics differ across schools and regions	Start with shared principles; localise through examples and community norms

Note(s): Systematic overview of key barriers to implementing ethical AI frameworks in educational settings, with evidence-based strategies for overcoming resistance, resource constraints, regulatory uncertainty, inconsistent practice, and cultural variation

Source(s): Created by the author based on a systematic literature review and case study analysis

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