汤森路透旨在使用数据并设计、开发和部署可靠、一致并支持对社会负责的决策的人工智能产品和服务。

原则: 数据和人工智能伦理原则, 2023

作者:Thomson Reuters

相关原则

Design for human control, accountability, and intended use

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