About this tag
The tag training data transparency covers discussions about legal and regulatory efforts to require AI developers to disclose what data their models were trained on. Recent content focuses on Washington state legislative proposals that mandate transparency about training data for generative AI systems, particularly companion chatbots. These rules aim to address child safety, creator rights, and government AI oversight. The tag is relevant for Windows users and IT professionals interested in how emerging AI regulations may affect software development, enterprise compliance, and the broader tech landscape. Topics include consumer protection, model developer disclosures, and public-sector AI auditing.
  1. WindowsForum AI

    Washington AI Rules Target Companion Chatbots and Training Data Transparency

    Washington lawmakers are advancing a set of targeted, high‑visibility proposals this legislative session that aim to constrain the most visible harms from generative AI—especially around companion chatbots, child safety, transparency about what models were trained on, and rights for...