Ethics and Data Use
No technology is perfect but by asking the right questions about a technology and carefully considering our capacity to effectively leverage it, we can maximize impact.
Ask
Data Protection:
How does your tool safeguard data, and can a user customize its settings to meet specific needs?
Data Ownership:
How are users informed and given control over their data, especially concerning opt-out options?
Data Handling:
In cases where the tool leverages user input for training, how do you ensure data anonymity and restrict access to sensitive information?
Compliance:
How does your tool adhere to key privacy regulations (e.g., GDPR, FERPA, COPPA)?
Ethical Practices:
What ethical frameworks inform your development?
Consider
Data and AI Literacy:
How will you communicate the importance of data privacy and ethical AI use to your students?
Protection and Transparency:
What measures will you take to ensure that students’ data privacy rights are protected when using AI tools?
Awareness and Autonomy:
How will you ensure that students and staff are informed about and have control over their data when using the AI tool?
Environmental Impact:
How can you manage AI waste?
Academic Integrity:
Scenario
The AI Integration Framework was adapted, with permission, from the "Top 6 Questions for GenAI EdTech Providers" resource developed by AI for Education.
This is one dimension of the AI Integration Framework.