People-centered AI: ​the principles that guide us

When coupled with automation, AI can dramatically speed processes, improve decisions, and free people from an ever-wider range of repetitive tasks. But as with any powerful, transformative technology, AI must be thoughtfully managed to maximize its positive impact. We are committed to enabling the responsible and ethical application of AI + automation for UiPath, our customers, and our partners.​

Our core principles

We believe all AI + automation systems should be developed and implemented based on the following standards:​



UiPath embraces an open approach, supporting both generative AI and specialized AI. The platform enables users to leverage the best-in-class models available, whether they are developed by UiPath, brought by users, or sourced from other providers. This openness allows organizations to leverage a wide range of AI capabilities and stay at the forefront of technological advancements in both generative AI and specialized AI.



UiPath provides a flexible platform that allows the construction of workflows by combining multiple AI models, user interfaces (UI), and APIs. This flexibility enables users to create comprehensive automation solutions that leverage the strengths of various AI models. Additionally, users have the ability to fine-tune the AI models to suit their specific tasks and domains, ensuring that the automation solutions are tailored precisely to their requirements.



UiPath prioritizes responsible AI practices, ensuring the safety and governance of AI-powered automation solutions. The UiPath Platform incorporates guardrails and governance mechanisms to make sure that AI models used in workflows are deployed responsibly and ethically. By integrating responsible AI principles, UiPath helps organizations mitigate risks associated with AI, such as privacy concerns, bias, and data security, enabling them to build trustworthy and compliant automation solutions. Our Responsible AI principles are available here.

Our goal is to help foster research

Our goal is to help foster research that leads to the next wave of transformational technologies at the intersections of automation and AI and ensure human-centered automations are deployed to establish ethical, inclusive, and accountable AI systems.”

UiPath AI Advisory Board

Watch Dr. Etzioni’s keynote at the 2022 UiPath AI Summit

Our AI Advisory Board

Leading experts help guide our efforts to develop and support human-centered AI + automation​

Dr. Oren Etzioni, Chairperson

Dr. Oren Etzioni, Chairperson

Since its founding in 2014, Dr. Etzioni has served as CEO of the not-for-profit Allen Institute for AI (AI2), which focuses on AI research and engineering for the common good. An accomplished AI theorist and practitioner, he's published 100+ papers on AI and founded several companies.

Daniel S. Weld, PhD

Daniel S. Weld, PhD.

Dr. Weld is Professor Emeritus at the Paul G. Allen School of Computer Science & Engineering, and the General Manager and Chief Scientist of Semantic Scholar at the Allen Institute of AI. Dr. Weld runs the Lab for Human-AI Interaction, which helps people better understand and control AI tools, assistants and systems.

Sarah E. Chasins, PhD.

Sarah E. Chasins, PhD.​

As Assistant Professor of Computer Science at UC Berkeley EECS, Dr. Chasins’ work focuses on democratizing programming, especially for social scientists, data scientists, and other non-traditional programs. Her goal is to make programming tools so usable that automating a task is easier than teaching the same task to a human.​

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