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.
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.
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:
5 Key Research Findings on Enterprise Artificial IntelligenceRead more
Artificial Intelligence: Make it Ethical, Explainable, and EfficientRead more
Data Science Tropes: Cowboys and SirensRead more
VIDEO: The REAL Problems with AI – My Talk with Kate CrawfordRead more
AI Predictions 2020: Artificial Intelligence Grows UpRead more
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How can you ensure your AI, machine learning, and advanced analytics are operationalized in a responsible way? Contact FICO to learn more.