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Fair AI: bias correction, AI testing and AI governance

Is your AI fair and explainable? Fix embedded biases and create transparency with synthetic data!
  • According to Gartner, by 2022, 85% of algorithms will be erroneous due to bias.
  • Biased data is bad for business. From discriminatory hiring algorithms to sexist credit scoring models, numerous fairness scandals prove that the bias damage is both social and financial in nature.
  • AI regulations are coming across the world. The European Union has already made its proposal to regulate AI and the datasets used to train AI to enforce fairness and safety standards.
  • Regulatory oversight is needed. However, companies using AI are not prepared to demonstrate compliance and offer explainability to regulators.
  • Biased algorithms lead to systemic bad decisions, which affect companies at scale.

Synthetic data can reduce bias in datasets by representing data with appropriate balance, density, distribution, and other crucial parameters. Synthetic data also provides the foundations for explainable AI or XAI. Algorithmic audits need synthetic data, that is free to share with regulators and provides a window into the workings of AI algorithms. Where sensitive training data cannot be shared further, highly representative synthetic data can serve as a drop-in placement to provide model documentation, model validation, and model certification.


Synthetic data generated by MOSTLY AI's synthetic data platform corrected a skew towards racial bias in crime prediction from 24% to just 1 % and narrowed the gap between high-earning men and women from 20% to 2% in the US census dataset.

Read the Fairness Series to learn how to generate fair synthetic data!

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MOSTLY AI is the fair synthetic data vendor. Our data scientists have extensive experience in correcting biased datasets and can provide help and guidance for businesses ready to tackle these issues in existing algorithms or, better yet, implement AI from scratch with fairness in mind. As a European synthetic data provider, we are experts of GDPR-compliance and EU regulations, always one step ahead of our competition to follow the latest regulatory developments. We are truly passionate about making AI fair, ethical, trustworthy, and explainable.