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Darryl Legaspi

Created on June 17, 2024

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Transcript

Best Practices for Using Generative Artificial Intelligence

Ensuring Data Privacy
Anonymize Data: Before inputting data into generative AI tools, ensure all personally identifiable information (PII) is removed to protect student and staff privacy.
Secure Storage: Store data used for training AI models securely, using encryption and access controls to prevent unauthorized access.
Data Minimization: Only use the minimum amount of data necessary for the intended purpose, reducing exposure to privacy risks.

Best Practices for Using Generative Artificial Intelligence

Maintaining Ethical Standards
Transparency: Be transparent about the use of AI in educational activities. Inform students and parents about how AI tools are being used and the data being collected.
Bias Mitigation: Regularly evaluate AI models for biases and take steps to mitigate any that are found. This helps ensure the AI does not reinforce or propagate harmful stereotypes.
Content Verification: Verify the accuracy of AI-generated content before using it in educational materials. This ensures the information is correct and appropriate for the intended audience.
Digital Citizenship: Teach students about the ethical use of AI, including the importance of not using AI tools for cheating or plagiarism.

Best Practices for Using Generative Artificial Intelligence

Legal and Regulatory Compliance
Adherence to Laws: Ensure that the use of AI complies with relevant laws and regulations, such as GDPR and COPPA, which govern data protection and the use of technology in educational settings.
Usage Policies: Develop and enforce policies for the responsible use of AI, including guidelines on data usage, storage, and sharing.
Compliance Training: Provide regular training for staff and students on the legal implications of using AI tools.

Best Practices for Using Generative Artificial Intelligence

Practical Applications in Education
Enhanced Learning Materials: Use AI to generate supplementary learning materials, such as practice questions, reading passages, or creative writing prompts, while ensuring content appropriateness.
Personalized Learning: Implement AI tools to create personalized learning experiences that cater to individual student needs and learning styles, while maintaining data privacy and security.
Administrative Efficiency: Utilize AI to automate administrative tasks, such as grading and scheduling, to improve efficiency and allow educators to focus more on teaching.
Assistive Technologies: Use AI to support students with disabilities, such as speech-to-text for students with writing difficulties or text-to-speech for those with reading challenges.

Best Practices for Using Generative Artificial Intelligence

Monitoring and Evaluation
Performance Monitoring: Regularly monitor the performance of AI tools to ensure they are functioning as expected and providing accurate results.
Feedback Mechanism: Establish a feedback mechanism for students and staff to report issues or improvements related to AI tools.
Continuous Improvement: Use feedback to continuously improve the deployment and use of AI tools in the educational environment.