Build Ethical, Unbiased, & Compliant AI with TuringXai
About BIAS Mitigation
Cognitive biases developed due to biased data, human interpretation, and unintentional introduction by development teams or training data hinders AI/ML model adoption. TuringXai address this with its BIAS mitigation module which detects and classifies the biases in AI/ML model output and teaches AI to treat bias holistically. This ensures ethical and fair AI/ML models, improving their accuracy, trustworthiness, and adoption.
Key Features of BIAS Module
BIAS Detection & Classification
As an advanced AI platform, TuringXai astutely recognizes and addresses variables that exhibit disparities between privileged and unprivileged classes. These variables are classified into 27 distinct types of biases.
BIAS Mitigation
TuringXai’s BIAS mitigation feature empowers AI with the ability to handle bias with careful judgment, sensitivity, and precision. It takes into account the nuanced complexities of bias in AI systems, recognizing that merely removing variables is insufficient. By educating AI to address bias comprehensively and discerningly, TuringXai promotes responsible and ethical AI practices
