Top 5 Questions for GenAI EdTech Providers
GenAI Edtech vendors will come knocking on school doors in droves this year. Here are our Top 5 questions to ask these providers about their solutions to ensure they are fit-for-purpose for your school.
Updated 10/23/24
Human Oversight and Quality Control
Our users need to trust AI-generated content from your platform.
What human oversight and quality control measures do you employ?
Are there user warnings about accuracy of outputs?
How do you ensure that feedback from users is being collected and actioned?
Mitigating Bias in Outputs
It’s important that the tools we use do not cause harm to our students or teachers.
What steps are you taking to identify and mitigate biases in the underlying GenAI models your product uses?
How will you ensure fair and unbiased outputs?
Student Privacy and Ethical Data Use
Protecting student data privacy and ensuring ethical use of data is our priority.
What third parties have access to our data (e.g., OpenAI, Google)?
Is our data used to train any internal or external GenAI models?
What policies and safeguards can you share to address privacy concerns?
Evidence of Impact
We need evidence that your AI tool will improve learning outcomes for our student population and/or effectively support our teachers.
Can you provide examples, metrics and/or case studies of positive impact in similar settings?
Accessibility and Inclusive Design
Our school needs to accommodate diverse learners and varying technical skills among staff.
How does your tool ensure accessibility and usability for all our students and staff?
What ongoing support and training is available?
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