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FinRegLab Report and Webinar Examine the Policy Implications of AI in Financial Services as Adoption Continues to Accelerate in Credit Underwriting and Other Use Cases

FinRegLab Report and Webinar Examine the Policy Implications of AI in Financial Services as Adoption Continues to Accelerate in Credit Underwriting and Other Use Cases
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Washington , United-states , Laura-blattner , Grovetta-gardineer , Patrice-alexander-ficklin , Melissa-koide , Jann-spiess , Keith-ernst , David-palmer , Prnewswire-finreglab , Deposit-insurance-corporation , Machine-learning-in-financial-services-discussion

FinRegLab Report and Webinar Examine the Policy Implications of AI in Financial Services as Adoption Continues to Accelerate in Credit Underwriting and Other Use Cases

FinRegLab Report and Webinar Examine the Policy Implications of AI in Financial Services as Adoption Continues to Accelerate in Credit Underwriting and Other Use Cases
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Washington , United-states , Keith-ernst , David-palmer , Melissa-koide , Prnewswire-finreglab , Jann-spiess , Patrice-alexander-ficklin , Grovetta-gardineer , Laura-blattner , Office-of-the-comptroller , Consumer-financial-protection-bureau

Watershed Introduces Corporate Climate Disclosures Platform

Watershed introduced Watershed Disclosures, a product designed to assist companies in generating high-quality climate disclosures.

Laura-blattner , Canva-pro , Watershed-disclosures , Watershed-policy-advisory-board , Watershed-summit ,

Watershed Launches New Software to Streamline Corporate Climate Reporting

First-of-its-kind Watershed Disclosures product will help companies report their climate impact easily, quickly, and reliably to meet new disclosure requirements TodayWatershed, the enterprise climate

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Inside Biden's Hardline Approach to End Redlining

As a nationwide affordable housing crisis stifles homeownership for many, the Biden Administration is taking a hardline approach to modern redlining.

California , United-states , San-diego , Tennessee , Mississippi , Kristen-clarke , Nancy-kwak , Richard-horn , Scott-nelson , University-of-california , Trustmark-national-bank , Fair-isaacs-corporation

AI Bias | The Struggles & Solutions to Bias in AI

AI Bias | The Struggles & Solutions to Bias in AI
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'Noisy' data can worsen credit inequality

'Noisy' data can worsen credit inequality
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Laura-blattner , Scott-nelson , University-of-chicago-booth-school-business , Stanford-university-graduate-school-of-business , Stanford-university-graduate-school , Chicago-booth-school ,

Stratyfy Joins Groundbreaking Machine Learning Research


Stratyfy Joins Groundbreaking Machine Learning Research
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Stratyfy
“This research offers an opportunity to make meaningful strides towards removing unconscious bias in decisions that have practical, everyday impacts. Stratyfy welcomes the chance to present our unique approach, and is honored to be part of this important work.”
NEW YORK (PRWEB)
May 25, 2021
Stratyfy is pleased to announce its participation in critical research focused on improving the transparency and fairness of machine learning in the credit industry.
This unprecedented research will seek to address issues surrounding transparency and fairness that have made many lenders hesitant to adopt machine learning underwriting models at scale. The research will be led by FinRegLab, the industry leading innovation center in collaboration with researchers from the Stanford University Graduate School of Business (GSB) and key financial, technology, and regulatory stakeholders.

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