on - edited by
Lisa Latour
For those delving into the capabilities of Now Assist, you likely have questions that extend beyond just product features. Understanding how your data is handled, what security measures are in place, and how we address bias in our AI models are all crucial considerations.
We've developed a comprehensive suite of Support articles to provide clear and detailed answers to these important questions. Please note that an account with Support access is required to view these resources.
Here's a breakdown of what you'll find in each of our key resources:
Overview of Advanced AI & Data Products: Architecture, Applicable Terms, and Data Handling (Start here!)
This is your foundational resource. It provides a high-level yet comprehensive understanding of the architecture behind our AI products, including Now Assist. You'll gain insight into the terms and conditions that apply to their usage, and most importantly, a clear explanation of our overall approach to data handling. This article is your starting point for understanding where your data goes and how it's managed within the Now Assist ecosystem.
This FAQ addresses common questions specifically about the processing of your data within our Advanced AI and Data Products. It clarifies aspects such as how data is processed and what security controls and processes are in place to maintain data integrity throughout its lifecycle. This article contains detailed architecture diagrams, data flows, and network infrastructure information.
This article clarifies essential questions regarding data handling and AI model development. It outlines how ServiceNow offers optional data sharing programs for model improvement, emphasizing user control through opt-out options and ServiceNow's model development process.
This FAQ directly addresses the critical topic of our Responsible AI practices here at ServiceNow. Here, you'll find information on the methodologies and principles we employ to avoid and mitigate bias during the training of our Large Language Models (LLMs) and other AI systems. It outlines our commitment to ethical AI development and the steps we take to ensure fairness and accuracy.
This addendum provides supplementary information and updates to our existing data handling and security FAQs, specifically focusing on information related to regulated markets and self-hosted customers.
