Breadcrumbs

HelioCampus AI

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Access to AI functionality is controlled through Institution enablement and role-based permissions. To learn more and enable AI functionality, please contact Support.

The platform provides AI functionality to reduce manual effort and help users work more efficiently with accreditation and assessment content across the platform. These tools are especially useful when teams need to understand and summarize large volumes of data. Learn more about HelioCampus’s approach to AI with the HelioCampus Blog!

Once HelioCampus has enabled AI functionality, Institutions should treat AI outputs and analyses as decision support that should be reviewed alongside the source data. AI outputs and analyses should not be treated as the source of truth for data; instead, they should be used as a tool to support the interpretation and presentation of data. Access to AI functionality is controlled through Institution enablement and role-based permissions. To learn more and enable AI functionality, please contact Support.

AskAI

Ask AI helps users interpret complex, expansive data by turning questions into clear, usable answers. It can summarize information spread across multiple fields, long-form narrative entries, and supporting documents, so users spend less time searching and more time understanding. Ask AI responses are grounded in the data already available to users in the platform and will include referenced sources for review. This makes it easier to validate results and move from analysis to next steps with confidence. Learn more.

Sentiment Analysis AI

Sentiment Analysis AI generates themes and qualitative insights from open-ended survey responses when sufficient response volume is available. The AI groups large datasets into themes and provides a short summary for each, along with an overall sentiment indicator on a ‘very negative’ to ‘very positive’ scale. Each theme also shows how many responses contributed to it, helping users understand its representativeness. Users can drill into the underlying responses that contributed to each theme, and view frequently used terms and patterns in respondents' language. This capability helps stakeholders interpret qualitative survey results more consistently by reducing the need to manually read and categorize every comment. Learn more.

Frequently Asked Questions

These are general FAQs about HelioCampus AI overall. Feature-level FAQs can be found in the following:

How does HelioCampus ensure data privacy and security?

HelioCampus uses the OpenAI API for generative AI functionality. OpenAI API ensures that data is not stored and will not be used to train their AI model. For additional information, review these OpenAI resources.
OpenAI Services Agreement

OpenAI API Privacy Notice

How is HelioCampus generating the information behind the scenes? For example, do you use a Large Language model?

HelioCampus uses the OpenAI LLMs, GPT-4o, and GPT-4o-mini.

What is the process for updating the AI models, and how frequently are they updated?

HelioCampus continually improves the implementation and utilization of the LLM model to enhance specific functionality and implement improvements. OpenAI controls the update process and scheduling for these models rather than HelioCampus. HelioCampus uses the models but does not determine their update frequency or development cycle.

How does the platform ensure the AI behaves ethically and avoids bias?

OpenAI manages all aspects of ethics and bias mitigation. HelioCampus uses the models, while OpenAI develops and maintains the fundamental bias-prevention mechanisms as part of its model development process.

Are there any system requirements to ensure optimal performance?

No. AI uses the exact system requirements as the platform.

How often is AI data updated?

AI data processing will follow the DBT (Data Build Tool) schedule, which typically runs twice daily for most clients and is relative to the client’s time zone.