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Put responsible AI to work for people
By promoting AI innovation, aligned with our values and guiding principles, ServiceNow® supports responsible AI that makes positive contributions to the world.
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ServiceNow builds responsible AI
We're developing AI that is open, transparent, accountable and human-centric. Our rigorous internal processes and the built-in guardrails of the ServiceNow AI Platform bolster security, reliability and trust.
"At ServiceNow, responsible AI isn't just a checkbox–it's a commitment to building AI systems that prioritise fairness, transparency and accountability at every stage." Jeremy Barnes Vice President of Product, Platform AI
ServiceNow Explore ServiceNow AI
We make AI that works for people
All our AI products enhance people's abilities. As we build new offerings, we align to human needs and values to amplify the skills and capabilities that people already have.
Our AI Vision
We envision a future where ServiceNow AI products drive better outcomes for our customers. By putting AI to work for people, we're dedicated to elevating human collaboration and creativity in the workplace.
Our AI Mission
Our mission is to use the transformative power of AI in workflows to drive productivity and world-class experiences. We bring our customers the powerful and reliable AI tools that empower innovation and solve some of their biggest business challenges.
Four principles guide ServiceNow AI
As we build new AI products and services, we ground our development in the richness of human capacity and real-world complexity. By taking this approach, we create technology that can serve everyone with relevance and humanity.
Human-Centred
By championing human-centred AI, we help users understand when and how to use AI within our offerings, and that they are always in control.
Inclusive
To mitigate bias and promote equity, we include a diverse team and use varying data sets within our AI.
Transparent
Open communications and documentation that is easy to understand is a critical part of being transparent with our customers about AI usage.
Accountable
Rigorous oversight and governance structures that include external expert consultations and internal committees to oversee AI integration help keep us accountable.
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Customers trust ServiceNow AI
"While everyone has been talking about GenAI, we've been putting it to work for our people and our customers. We've been able to move fast because it's built right into the ServiceNow platform."
Alex Bell
Business Service CIO
BT Group
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Learn about responsible AI in our products​ kb article Responsible AI FAQs
Get to know more about our commitment to responsible AI and how we deliver our solutions.
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Read through our product documentation to learn more about responsible AI in our latest product launch.
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At ServiceNow, our commitment to accessibility extends beyond mere compliance; it's ingrained in our culture of inclusivity and innovation–and part of our development of AI.
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Explore our methodology for testing large language model (LLMs) applications, including risk assessment frameworks and best practices to support enterprise-aligned AI systems.
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Get practical guidance and decision‑making tools for navigating AI responsibly, with systems that respect human needs, values and well‑being.
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Frequently asked questions. What is responsible AI?
Responsible AI is an approach that incorporates a set of defined practices and principles that guide AI development and deployment and ensure that it is used in an ethical and legal way. More than a governance model, responsible AI aligns with the stakeholders' values and builds trust while minimising potential harm and optimising the benefits of AI for humankind.
What are the key principles of responsible AI?
The four key principles of responsible AI are: human-centred, inclusive, transparent and accountable. These areas guide organisations in their commitments to AI implementation and development.
What role does responsible AI take in AI ethics?
Responsible AI is an overarching approach to developing ethical AI. It serves as a north star or compass and is fundamental to the mission, vision and creation of AI as well as its use and deployment.
What is the difference between responsible AI vs explainable AI?
Responsible AI is an approach that incorporates a set of defined practices and principles that guide AI development and deployment and ensure that it is used in an ethical and legal way. Explainable AI is used in the planning stages to make the AI model responsible before it calculates results. It's used to describe an AI model and its potential impact and/or possible biases.
What is AI governance?
AI Governance refers to the tools, systems and guardrails that are put in place to ensure that AI is safe, responsible and ethical.
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