Responsible AI at ZoomInfo

For an AI system to be trustworthy, it must be valid and reliable. Our use of AI is based on our best-in-class B2B data, which is continually evaluated by our internal engineering and research teams. Additionally, our AI models go through a robust evaluation process with human evaluators stress-testing it with clearly defined and realistic test-sets.

Safety is fundamental to creating and operating a sustainable AI system. Given the nature of our business, our processing activities remain relatively low-risk compared to many other uses of AI. Nonetheless, we continue to assess the risk of harm arising from our AI practices.

All our AI systems remain in scope of our wider cybersecurity and resilience programs, meaning they are subject to a range of measures during their design, implementation, and ongoing operation.

This Trust Center seeks to ensure we remain transparent regarding ZoomInfo’s use of AI, but you should feel free to email us at responsibleai@zoominfo.com if you have further questions. Our accountability is supported by the incorporation of AI risk into our Enterprise Risk Management Program, our AI Risk Management Framework, and our ongoing Assurance Program that incorporates AI-related reviews.

We seek to make our use of AI explainable and understandable to the user at the point of use, with our overall approach to AI development and governance addressed through this Trust Center.

All our AI systems remain in scope of our wider privacy program, meaning they are subject to a range of measures during their design, implementation, and ongoing operation. Our in-house Privacy team is trained to manage the privacy rights of data subjects we come into contact with. We extend privacy rights to all data subjects, not only those individuals who are covered by existing laws.

Our use of AI is guided by our Company Values and our Guiding Principles, which are outlined in our Sustainability Report. Where ethical issues arise, we are guided by our Data Ethics Policy and refer matters of judgment to our cross-disciplinary Data Advisory Board.

ZoomInfo processes data in accordance with applicable law, and the Data Ethics Policy then addresses wider scenarios of what should be done. This Policy established the creation of ZoomInfo’s Data Advisory Board.

A cross-department, cross-disciplinary group of ZoomInfo employees tasked with reviewing novel data use proposals, or other matters relating to data use that cannot be solved through pre-existing procedures and standards, and advising Senior Management. The Board contains members from Legal, Compliance, Data Strategy, Information Security, Human Resources, Communications, and Infrastructure Engineering.

ZoomInfo’s AI Risk Management Framework supports the Data Ethics Policy, and is aligned with the NIST AI Risk Management Framework.

The Generative AI Security Policy outlines ZoomInfo’s information security controls when utilizing generative AI. It addresses the overall security and protection of intellectual property, sets the standard for responsible use, and instructs users on further monitoring of AI outputs and performance.

These employee-facing guidelines describe the best practices and recommendations for the ethical and responsible use of artificial intelligence within ZoomInfo, aligning our day-to-day practices with the ZoomInfo Risk Management Standard. These guidelines are designed to help ZoomInfo employees emphasize the responsible building and application of AI into our products and services, thereby promoting the responsible and beneficial use of AI. The guidelines also direct employees to produce AI applications that comply with ethical and legal requirements, protect data privacy and security, and promote fairness and accountability.