Independent Responsible AI metrics, insights and risks across your LLM portfolio.
Our approach is not to replace your existing AI investments. Instead, our AIMI platform sits as a layer on top of current AI assets or embedded within your existing workflow.
Are users submitting private information to the AI model and is the AI model generating private information?
Is the model generating content that could be considered toxic? This includes hate speech, disrespectful content, racism, homophobia, and more.
How well does the model perform at specified tasks? Does it perform equally well for different groups of input authors (such as those with English as a second language)?
As the LLM learns from data, in the text that it generates it may exhibit unwanted stereotypes in the language it uses. For example, it may refer to the doctor always as ‘him’ and the nurse always as ‘her’.
