CHALLENGES
Infrastructure Requirements Implementing AI solutions may require
upgrades to existing IT infrastructure - including hardware, software, and network capabilities.
Change Management Introducing AI may require big changes in workflows and processes, which can be met with resistance from staff who are used to more traditional methods.
Data Quality and Integration Ensuring data is accurate, complete, and integrated from various sources can be difficult. Poor data can lead to unreliable AI insights.
Transparency and Accountability Understanding how AI systems make decisions can be challenging. This can raise concerns about transparency and accountability in educational decision-making.
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