Twitch recognizes that live streaming is an inherently social and interactive environment. This often results in the incidental inclusion of non-creators, such as audience members appearing in video feeds or engaging via text, which may be utilized in machine learning processes. Twitch's approach to managing this complexity involves strictly adhering to its Terms of Service and Privacy Policy, which users agree to when accessing the platform.
To protect individual privacy and manage consent, Twitch implements data minimization practices. This means the company aims to focus training efforts on datasets that provide clear utility while reducing the footprint of personally identifiable information. For instances where incidental content is captured, the company relies on established legal frameworks regarding public expression and platform usage agreements.
Twitch is committed to developing robust technological solutions to mitigate privacy risks. This includes investigating automated tools that can help identify and protect the identities of bystanders. We continue to refine our data governance frameworks to ensure that the development of AI technologies respects the expectations of our diverse community of creators and viewers alike.
