Before we dive head first into HITRUST AI assessment options, it’s important that we have an understanding of some of HITRUST’s terminology around AI.
Generative AI
The first type of AI is generative AI which “uses deep learning trained on large datasets to create content, such as written text, code, images, music, simulations and videos, in response to user prompts.” With generative AI, the model is first trained using vast amounts of data, used by the AI to learn patterns and relationships within the provided data. Then the model is fine-tuned for specific applications, such as generating some specific output such as text or images. Lastly, the AI is used by end users to create new content based on the learned patterns and user inputs.
Open-source AI
Open-source AI refers to artificial intelligence where the source code is made freely available for anyone to use, modify, and distribute. Open-source AI makes its components available under license for end users to modify into their preferred form. This can either be a fully functional system and/or discrete elements of a system.
Rules-based AI
Lastly, rules-based AI is a basic AI model that uses a set of prewritten/predetermined rules to make decisions and solve problems. With rules-based AI, developers create a list of rules and facts in order to train the system. “An inference engine then measures the information given against these rules. Here, human knowledge is encoded as rules in the form of if-then statements.” The system then strictly follows its given rules set and only performs the assigned programmed functions.
With the world of AI growing every day, there are bound to be many ways to categorize and define the AI systems and applications out there and in use in your organization, though these are the main categories of AI HITRUST have defined for your HITRUST assessment. If you have any questions on how to categorize potential AI systems you’re thinking of introducing to your environment or ones already in use by your organization, feel free to reach out!