Humans should have ultimate control of our technology, and we strive to prevent unintended use of our products. Our user experience enforces accountability, responsible use, and transparency of consequences. We build protections into our products to detect and avoid unintended system behaviors. We achieve this through modern software engineering and rigorous testing on our entire systems including their constituent data and AI products, in isolation and in concert. Additionally, we rely on ongoing user research to help ensure that our products function as expected and can be appropriately disabled when necessary. Accountability is enforced by providing customers with insight into the provenance of data sources, methodologies, and design processes in easily understood and transparent language. Effective governance — of data, models, and software — is foundational to the ethical and accountable deployment of AI.

由 Rebelliondefense 在 人工智能道德原则发表, January 2023

Data protection and privacy are a corporate requirement and at the core of every product and service. We communicate clearly how, why, where, and when customer and anonymized user data is used in our AI software. This commitment to data protection and privacy is reflected in our commitment to all applicable regulatory requirements as well as through the research we conduct in partnership with leading academic institutions to develop the next generation of privacy enhancing methodologies and technologies.

由 SAP 在 SAP的人工智能指导原则（SAP's Guiding Principles for Artificial Intelligence）发表, Sep 18, 2018

Thomson Reuters will adopt the following Data and AI Ethics Principles to promote trustworthiness in our continuous design, development, and deployment of artificial intelligence (“AI”) and our use of data:

由 Thomson Reuters 在 数据和人工智能伦理原则发表, 2023

由 Thomson Reuters 在 数据和人工智能伦理原则发表, 2023

由 Thomson Reuters 在 数据和人工智能伦理原则发表, 2023