Generative AI Training Data

Generative AI training data is the large collection of text, images, code, audio, and other content used to teach a generative model how to produce new output. For enterprises, the source and licensing of that data matter because it can expose a company to copyright claims, privacy violations, and disputes over whether a model was built on material its owner never agreed to share. Regulators are increasingly requiring developers to disclose what training data they used, so compliance teams need to track where the AI tools they buy or deploy came from.

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ResearchChina2026-10-19

China's Banking AI Guidelines Require Board Oversight and Risk-Tiered Controls

New guidance for Chinese banks sets board-level accountability for AI governance, cross-functional coordination, and full lifecycle management of AI systems. High-risk uses such as credit approval, underwriting, and financial contract decisions require risk committee sign-off, human oversight, and in some cases regulatory reporting. The guidelines also restrict use of sensitive personal information in generative AI training and impose access controls on foundation models.

China banking financial services AI lifecycle risk committee human oversight board accountability generative AI training data