1. Protecting Student Privacy and Data Security:
‍We understand the importance of safeguarding student data and are committed to the highest standards of privacy and security.

• De-Identification: Before data is sent to our in-house AI model, we purposefully de-identify it to ensure student privacy and prevent any information from being traced back to individuals.
• Ownership: Our AI model is fully in-house, ensuring that no student data is shared with third-party vendors or external systems.
• Robust Security: We implement industry-leading security measures to prevent unauthorized access to data at every stage.

2. Promoting Equity Through Diverse Training Data:
‍Our AI is built with the explicit goal of fostering equity and avoiding unintended biases.

• Diverse Training Data: We train our in-house model on a diverse dataset that reflects the richness of the student populations we serve, ensuring that no demographic is disproportionately penalized or disadvantaged.
• Bias Mitigation: We continuously evaluate and refine our models to ensure fairness for all learners, regardless of their background, abilities, or experiences.

3. Empowering Teachers, Not Replacing Them:
‍AI at EdLight is designed to support teachers in their professional practice, not replace their expertise.

• Teacher-Centered Design: Our tools provide actionable insights to assist teachers in making informed instructional decisions.
• Respect for Professional Judgment: Teachers remain in full control of how AI-generated insights are used in their classrooms and workflows.

4. Transparent and Ethical AI Development:
‍We believe in building trust through transparency and accountability in our AI systems.

• Explainability: Our AI insights are designed to be clear, actionable, and easy to understand, helping teachers trust and effectively use the recommendations.
• Accountability: We actively monitor the impact of our AI systems and address any unintended consequences quickly and thoroughly..

5. Continuous Improvement Through Stakeholder Feedback:
‍We recognize that responsible AI development requires ongoing iteration and collaboration.

• Iterative Learning: We regularly update and improve our in-house model using new research, educator feedback, and classroom data to ensure it remains effective and equitable.
• Engagement: We involve teachers, administrators, and other education stakeholders in the development process to ensure our tools meet their unique needs and contexts.

6. Commitment to Educational Equity:
‍We are dedicated to using AI to close opportunity gaps and provide all students with equitable learning experiences.

• Focus on Impact: Our AI tools are purpose-built to identify and address inequities in learning opportunities and outcomes.
• Mission Alignment: Every feature we build is guided by our mission to improve learning experiences and foster student growth..

By adhering to this pledge, we reaffirm our commitment to ethical, equitable, and secure AI development. At EdLight, we believe that responsibly built AI has the power to transform education into a more inclusive and effective experience for all.