Our Experts

SolasAI was created by industry-leading consultants and data scientists. Our experts have extensive experience and knowledge in employment discrmination, general algorithmic fairness, ResponsibleAI, ExplainableAI and fair lending. They maintain a commitment to staying engaged with other thought leaders to drive innovation.

SolasAI, and its expert consultants regularly interact with other regulatory bodies, government oversight agencies and Members of Congress through panels, interviews and contract work. This gives SolasAI and its consultants firsthand experience in what regulators and legislators are acting on and thinking about regarding regulatory activities. This insight is then incorporated in the SolasAI software.

We help ensure that you can prove you have made reasonable efforts to minimize disparity and bias in your decision informing/making algorithms.

Download Our Fairness Compliance Checklist

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Publications & Media from the SolasAI Team

Machine Learning: Considerations for Fairly and Transparently Expanding Access to Credit

H2O World Conference, H2O.ai, October 22, 2019. “Responsible Data Science: Identifying and Fixing Biased AI.”

Gill, Navdeep; Hall, Patrick; Montgomery, Kim; Schmidt, Nicholas. 2020. "A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing." Information 11, no. 3: 137. Chosen to be the cover article in a special issue about Machine Learning in Python.

AI Risk and Security Working Group (co-author). 2020. “Artificial Intelligence Risk & Governance.” AIRS White Paper.

Schmidt, Nicholas and Stephens, Bryce. “An Introduction to Artificial Intelligence and Solutions to the Problem of Algorithmic Discrimination.” Conference on Consumer Finance Law (CCFL) Quarterly Report. Volume 73, Number 2 (October 2019).

Hall, Patrick, Gill, Navdeep, and Schmidt, Nicholas. “Proposed Guidelines for the Responsible Use of Explainable Machine Learning.” December 13, 2019. Robust AI in Financial Services Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada.

George Washington University, May 22, 2019. “Model Governance and Explainable Artificial Intelligence.” With Bryce Stephens of BLDS, LLC, Nicholas Schmidt, CEO of SolasAI and Patrick Hall of h2o.ai.