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SolasAI AI Bias Detection & Mitigation Library Reviews & Product Details

SolasAI AI Bias Detection & Mitigation Library Overview

What is SolasAI AI Bias Detection & Mitigation Library?

SolasAI is software that detects and removes bias & discrimination from a customer's decisioning models. It works in credit & insurance underwriting, predictive marketing, healthcare, and employment to name a few use cases. We use AI to fix AI. We provide trust & transparency into artificial intelligence, machine learning, and standard statistical models. We have over 45 years experience doing this, so our software is designed by the people that large banks, insurers, and healthcare providers trust to help them identify and lower their risk. If you are tired of paying expensive experts who can't seem to agree, and then leave the hard part of fixing the problems to your expensive and over worked data scientists, then SolasAI is for you. We follow the latest decisions and signals from courts, regulators, and law makers, as well as the latest and greatest technology trends for AI and fairness as a whole. This is built into SolasAI so you don't have to figure it out yourself. SolasAI is also flexible enough to adjust to your business without exposing you to unnecessary risks. We help you identify the fairest and best performing alternatives, and then create just the right amount of data and justification for you to communicate with auditors, regulators, or other stakeholders. We believe in fairness, but we are practical problem solvers. Bad decisions are bad decisions. We help you make the best decisions while expanding your business and uncovering new possibilities through fairness. Modelers, are you tired of tools trying to replace you or call your 'babies ugly?' Well SolasAI is your co-pilot to help take your great data science and insights and ensure you also achieve amazing fairness. We solve this together using cool data science. We are your partner and not your competition!

SolasAI AI Bias Detection & Mitigation Library Details
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Product Description

The SolasAI software detects and removes bias and discrimination from customer models. We use AI to fix AI. Born in the harshest fair lending regulatory environments, SolasAI is capable of ensuring model fairness without penalizing business results in many different industries and use cases including: healthcare, credit and life insurance underwriting, employment, marketing, and pricing. At its heart, SolasAI uses accepted disparity testing metrics, Explainable AI and optimized search to help our clients protect themselves, extend customer inclusion, and use powerful artificial intelligence tools more responsibly. SolasAI provides a critical building block for solving compliance challenges for fair lending, New York City’s Local Law 144 on automated employment decision tools (AEDT), and Colorado’s SB21-169 - Protecting Consumers from Unfair Discrimination in Insurance Practices law.


Seller Details
Year Founded
2021
Twitter
@solas_ai
82 Twitter followers
LinkedIn® Page
www.linkedin.com
Description

AI Bias Explainability and Mitigation Software


Larry B.
LB
Overview Provided by:
CEO of SolasAI

Recent SolasAI AI Bias Detection & Mitigation Library Reviews

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Verified UserSmall-Business (50 or fewer emp.)
5.0 out of 5
"Best in class library for algorithmic fairness"
This collection of fairness-focused tools was built with practitioners in mind, unlike other open-source or proprietary fairness software. It is an...
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SolasAI AI Bias Detection & Mitigation Library Media

SolasAI AI Bias Detection & Mitigation Library Demo - SolasAI does not require you to change tools or architecture
The data scientist or or company is not required to adopt a new technology stack or change the tools you are using. SolasAI provides APIs that you can use through your existing IDE or programming notebook. It then provides you alternatives in the same model architecture you used so you can just p...
SolasAI AI Bias Detection & Mitigation Library Demo - Speeds & Improves Feature Selection to Reduce Bias
SolasAI uses feature selection within a highly automated and targeted artificial intelligence solution to identify features with similar predictive value with less disparity associated with them. It can run iteratively with hyperparameter tuning to continually refine bias out while maintaining pr...
SolasAI AI Bias Detection & Mitigation Library Demo - Highly Automated Hyperparameter Tuning Reduces Bias w/o Sacrificing Quality
SolasAI provides a highly automated and powerful hyperparameter tuning solution focused on reducing social bias while maintaining model quality. This works in concert with feature selection to create highly performant models with less bias. The AI in SolasAI then identifies the best alternatives ...
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1 SolasAI AI Bias Detection & Mitigation Library Reviews

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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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