Privacy, Data Transparency, and AI Trust Centre

A Transparency Tapestry for Responsible Data Processing

AI Systems and Use at Dun & Bradstreet

We are committed to responsible use of AI, development of AI systems, and implementation of responsible AI solutions that accelerate innovation, improve efﬁciency, and contribute to sustainable growth. We believe this supports our foundational data compliance and ethics goals of preserving digital trust, reliable data-driven decision-making, and the sustainability of data ecosystems as described further in our AI Ethics Policy.

Our responsible AI program is built on a foundation of our 11 AI Ethics Principles below, which guide our approach to responsible AI by design across the AI lifecycle. Our comprehensive approach is supported by shared governance coordinated through our agile AI Governance Council, which brings together expertise from leaders across our business responsible for compliance and ethics, cybersecurity, data governance, data science, intellectual property, product, and sustainability.

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The TRUSTe Responsible AI Certification applies to The Dun & Bradstreet Corporation's proprietary AI systems and their deployment within products and solutions for D&B clients and AI Models and AI Systems used within D&B’s business operations.

Verify Status

We are committed to transparent, meaningful disclosures about our AI systems in our solutions, processes, and communications. Where we use an AI system to process personal data, we will disclose that in one or more of the following: our Supplemental Personal Data Processing Statements, contextual privacy notices we provide at the point of direct data collection, user guides, system cards, model cards, or transparency statements and disclosures related to scores, ratings, and other analytics.

As part of our commitment to responsible AI, in 2023 we participated in the Centre for Information Policy Leadership (CIPL) project on Building Accountable AI Programs, and, together with other leading data and technology providers, we contributed to the CIPL Report on Building Accountable AI Programs: Mapping Emerging Best Practices to the CIPL Accountability Framework.  

Dun & Bradstreet is a foundational supporter of the IAPP AI Governance Center.

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What is an AI System?

We rely on the deﬁnition of “AI system” used by the Organisation for Economic Co-operation and Development (OECD)* when referring to “AI” in this Statement to mean a machine-based system that for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that [can] inﬂuence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment.

*As updated November 2023

D&B AI System and AI Model Cards

Our AI Standards

These 11 Principles build upon existing Dun & Bradstreet policies

Human-Centered Values & Principles

Transparency & Explainability

Fairness & Non-Discrimination

Safety

Quality, Robustness, Accuracy, & Traceability

Risk Management

Privacy & Confidentiality

Engagement & Confidentiality

Data Security & Resiliency

Intellectual Property

Responsibility & Accountability

Responsible AI: Preserving Digital Trust & Building Sustainable Data Ecosystems

AI is on everyone's mind — especially how to operationalize it responsibly. Hear from Dun & Bradstreet’s Hilary Wandall, Chief Ethics & Compliance Officer, and Jay DePaul, Chief Cybersecurity and Technology Risk Officer, about what it means to design your environment responsibly and securely over the life cycle of AI being implemented using a trusted framework that draws upon standards from around the globe.

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