LearningSpace AI tools - FAQ

◾ Why use LearningSpace’s AI tools?

What to consider when subscribing to LS AI tools?

Significant time savings for faculty and staff.
Quality and consistency improvements in evaluation workflows.
Cloud-based service, incurring operational costs.

◾Can admins control which features use AI?

Yes. AI-related features can be globally toggled via the System Settings by users with the appropriate privileges.

◾Is customer data used to train AI models?

No. Customer data is not used to train any AI models.

◾How long does AI processing take (Transcription + Checklist AI)?

Actual times may vary slightly depending on audio quality and recording length, but overall performance is consistently fast. Both AI-generated transcripts and AI checklist suggestions process quickly:

Shorter recordings & standard checklists: typically 10–30 seconds
Longer recordings (1 hour+): usually under 3 minutes for full transcription + checklist processing

◾Is there an upper limit to how many speakers the AI transcription is able to identify?

For speaker diarization, LearningSpace automatically identifies speakers, with no strict limit on the number of speakers. The system will dynamically handle the number of speakers based on the conversation.
The number of participants can affect diarization accuracy. If there are too many speakers, the system might struggle to accurately distinguish between them, especially if voices are similar or overlap.

To prevent such inconveniences, we recommend the following approach:
If you are aware of the typical group size you work with, please upload a conversation-based video of a comparable size to a demo site and review the transcript quality beforehand.

◾Are proprietary or third-party models used?
Yes.

We use OpenAI models, hosted via Microsoft Azure
We also use Azure's transcription services

◾Where is AI processing performed?

All AI processing takes place in the Microsoft Azure Cloud.

◾Is data anonymized or pseudonymized before sending it to the cloud?

We do not send user profile information directly.
However, if audio or content (e.g., checklist items or free-text responses) includes personal data, that is not anonymized.
It is the customer’s responsibility to manage or redact sensitive data if required.

◾What logging or audit trails exist around data sent to AI components?

We do not log the content itself, but maintain audit trails and metadata logs for troubleshooting and monitoring.

◾How long is the data retained, and under what conditions is it deleted?

After receiving a response from Azure, all processed data (e.g., submitted text answers, special section questionnaires) is promptly deleted from Azure's environment.
Only the processed result is stored on the customer's server.
For more details, refer to Microsoft’s Trust Center.

◾What happens to already generated data if a trial or subscription expires?

Previously generated data (e.g., transcripts, AI suggestions) remain stored and accessible.
New AI-generated data cannot be produced until the subscription is renewed.