We support you in identifying the inherent and external risks of using AI in general or a specific AI solution, or review your underlying training data for bias.

Data Bias Assessment

We help you review the data you use to build your model for systematic errors that lead to biased predictions and conclusions.

We know that artificial intelligence can only learn if its data basis is good enough. Therefore, it is important to identify potential bias and actively work against them. 

We support you in evaluating your AI models for different types of biases. We use a scientific approach focussing not only on the prediction accuracy, but also the prediction value for different groups (overall accuracy vs. accuracy for the subgroups). 

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