Have you used our full AI Bias Detection & Mitigation Library or the Disparity & Bias Testing Library? Leave a review on G2 and let us what you think. loom.ly/Q5Y7Ev8

S1Ep17 of The MLSecOps Podcast is now available! Hear our talk with Nick Schmidt, Chief Technology and Innovation Officer at SolasAI and check out the transcript at bit.ly/45jlehH. #MLSecOps #MLSec #AISecurity #TrustedAI #ResponsibleAI #GRC #ProtectAI

Uncovering discrimination in #AI isn’t as easy as measuring a model’s differential performance. Nick Schmidt explains what that means for data scientists in his latest notebook. pub.solas.ai/why-differenti…

Why be proactive about pursuing compliance when using Generative AI? SolasAI CEO Larry Bradley and Capco Managing Principal James Kane explore the top 5 benefits in the first post of our collaborative series. #SolasAI #AIforGood loom.ly/jeLkldk

Algorithmic fairness is at the center of everything we do at SolasAI. In your opinion, which sectors do you believe could benefit the most from improved algorithmic fairness practices? #AI #EthicalAI #AlgorithmicDisparity #SolasAI

In today's world where ML algorithms have real-world consequences, developers face new ethical questions. How do we make sure AI doesn't violate people's civil rights if it is using biased data to solve its tasks? SolasAI can help. #AI #EthicalAI loom.ly/NUUbpFg

Join us and Capco on September 20th, as we examine the profound impact of AI on lending decisions and its pivotal role in shaping the financial landscape. Secure your spot: loom.ly/Vf0_Dx8 #AIinLending #Compliance #Webinar #FinancialServices

SolasAI works as a virtual fairness assistant to identify and eliminate algorithmic discrimination from AI. The software identifies and mitigates bias in algorithmic decisioning to avoid regulatory, legal, and reputational risks. #AI Find out more: solas.ai

Whether you're an #AI creator or consumer (or both), we all share the responsibility of embracing #EthicalAI for a better and brighter future. Learn more about what we're doing today to make AI good. loom.ly/17zHd1w

Four fundamental principles are foundational for adopting effective AI regulation: materiality, fairness, accountability, and transparency. Developing regulations with these as guideposts will help ensure that AI systems serve the public interest while advancing tech progress.