![Verified User in Banking](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Banking")
UB

Verified User in Banking

Small-Business (50 or fewer emp.)

7/13/2023

"Best in class library for algorithmic fairness"

5/5

What do you like best about SolasAI AI Bias Detection & Mitigation Library?

This collection of fairness-focused tools was built with practitioners in mind, unlike other open-source or proprietary fairness software. It is an excellent library for fair lending, healthcare, insurance, employment, or other spaces that are under pressure to make their tools more fair. The python interfaces are user-friendly and the technology under the hood is powerful. As society and regulators continue to shift towards emphasizing fair decision-making, tools like SolasAI will continue to be more and more valuable. Review collected by and hosted on G2.com.

What do you dislike about SolasAI AI Bias Detection & Mitigation Library?

Fairness is a tricky problem to tackle with often fuzzy requirements. No software can completely solve all of your problems with the push of a button. But the SolasAI library comes closest - when paired with some domain expertise it provides all the tools necessary to address the highest-stakes anti-discrimination problems. Review collected by and hosted on G2.com.

What problems is SolasAI AI Bias Detection & Mitigation Library solving and how is that benefiting you?

The bias detection and mitigation library contains top of the line methodology to modify models to make them more fair while retaining their usefulness to the business. In some fields like credit or employment, checking for such models is a requirement. But in nearly all domains, making your models more fair without sacrificing on quality is best practice. Review collected by and hosted on G2.com.

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