Just wondering if this has come up before or if anyone has scoured the terms of use to find out. If not, I'd appreciate someone asking the question who is paying Atlassian enough that they might deign to respond. Thanks!
Are we talking about data contribution topic or something else here? If it's the first, in their FAQ section the following is stated:
Does Atlassian use metadata or in-app data for apps where no settings are available (i.e. Loom, Trello, Bitbucket)?
No, Atlassian will not use metadata or in-app data from apps where no data contribution settings are available.
Initially, data contribution settings will apply to metadata and in-app data in Jira, Confluence, and Jira Service Management, including data in your Atlassian Platform apps (Rovo, Home, Teams, Projects, Assets, Goals, Analytics, and Administration). We will also provide these settings for certain Teamwork Graph connectors.
We will notify you when data contribution settings become available for additional Atlassian apps, such as Loom and Trello, and give you time to review them in Atlassian Administration.
Like... I guess this is all a gray area for everyone. 👀
Yes, and thank you as I never would have guess "data contribution" as the euphemism. It sounds like Trello is out of scope so far and once it is in-scope we'll get a setting to turn off the contribution. My question goes beyond that answer but I also found what's below, which seems to say that contributed data is only used to train their internal LLMs and not third-party ones. Thanks!
Will contributed customer data be used to train third-party generative AI models?
As we do today with all customer data, Atlassian does not share customer metadata or in-app data with our third-party-hosted LLM providers for them to use to train or improve their services. Our third-party hosted LLM partners, including OpenAI, Anthropic, and Google, operate under strict zero data retention (ZDR) agreements.
Atlassian may use metadata to fine-tune open-source models that operate strictly within Atlassian's infrastructure, solely to improve the quality of responses and experiences we deliver to customers. This use of contributed data is subject to data contribution settings, and we apply robust safeguards, including de-identifying and aggregating all contributed metadata before use.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.