FICO® Responsible AI

Safely apply machine learning with explainability, accountability, and ethics.

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Overview

Trustworthy AI and Machine Learning

FICO was founded on the promise of using data to remove human prejudice and discrimination in lending decisions. FICO invented a fair, transparent approach to credit scoring that was based on math instead of subjective human judgement or bias. Our company has been operationalizing explainable AI for more than 20 years in the areas of credit risk and fraud detection and has patented new algorithms for explainable AI, ethical AI, and model governance standards. Many of these innovations are now in FICO® Analytics Workbench™.

Market-First Innovations in Responsible AI

Our offering spans unique methodologies and processes for bias detection; building, executing, and monitoring models; model governance powered by immutable blockchain; an explainable AI toolkit; pre-built models in our solutions; simulation; and robustness testing. We refer to the combination of these capabilities as FICO Responsible AI and it enables lasting value creation.

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We are thrilled to have a system that has the predictive power of advanced machine learning techniques combined with the flexibility, explainability, and implementation ease of a scorecard.

Head of Credit Scoring
at a Top 5 US Bank

Responsible AI to Develop and Operationalize Predictive Analytics

FICO Responsible AI permeates all that we do, and it is baked into our platform and offerings. This enables our customers to develop and operationalize predictive analytics in a trustworthy and transparent way across the customer lifecycle.

FICO recently commissioned an independent global research report on the use of AI, and found that:

93
%
Report an ethical approach is critical for success
67
%
Are not monitoring for model drift
25
%
Have a unified approach for AI projects
Case Study

Prominent North American Bank

A top 5 US bank leverages machine learning to responsibly improve credit risk decisions.
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Decision Management and Optimization

Blogs

VIDEO: Fighting Bias in AI, Analytics and Scores

Diverse thinking is needed to avoid introducing gender bias and other forms of bias into analytic models
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5 Key Research Findings on Enterprise Artificial Intelligence

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Artificial Intelligence: Make it Ethical, Explainable, and Efficient

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Data Science Tropes: Cowboys and Sirens

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VIDEO: The REAL Problems with AI – My Talk with Kate Crawford

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AI Predictions 2020: Artificial Intelligence Grows Up

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Request a Consultation

How can you ensure your AI, machine learning, and advanced analytics are operationalized in a responsible way? Contact FICO to learn more.