While sophistication of AI could be leveraged for creation of values exponentially, it also has negative consequences that could damage your reputation and brand name if it is not managed and governed prudently. Our professionals follow different checks and balances throughout the model life cycle to minimize the adverse consequences of AI / ML model usage. We check for data – privacy and quality; ensure transparent and explainable algorithms and attributes; mitigate risks of overfitting, instability and algorithmic bias; and conduct tests for unintended / ethical bias at every stage of model lifecycle – development, validation, UAT, deployment, scoring and regular monitoring – for all the AI / ML models.