The AI Toolkit for K-12 Education

CHALLENGES

Data Privacy and Security Boards need to have strong data security measures in place to protect student privacy and comply with data privacy regulations.

Bias and Fairness Boards need to be aware of potential AI algorithmic bias and take steps to reduce it, like using diverse datasets and carefully evaluating AI recommendations.

Transparency Boards should disclose to stakeholders when AI is used for decision making and provide justification for its usage. Ultimately, stakeholders need to know that humans made the final decision.

Equity and Access Not all districts have equal access to modern and high-quality technology. Boards must consider how the use of AI might make existing educational inequalities worse.

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