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Slack AI upholds all of Slack’s enterprise-grade security and compliance requirements.
Slack AI falls under the same security program as the rest of Slack. For more information, visit our Trust Center.
FAQs
How does Slack AI work?
Slack AI uses third party large language models (LLMs), hosted within Slack’s secure Amazon Web Services (AWS) infrastructure and the message data already in your Slack workspace or Enterprise grid organization to power a suite of productivity tools personalized to you. When you request a summary or search answer, we use our standard architecture and in-house models to find and sort the most relevant information to summarize. This information is then sent to a LLM. The LLM is offline and self-hosted, meaning your data never leaves Slack. The LLM generates a response and Slack AI returns the response to you. The LLM does not retain any information from the request.
What type of AI model does your system use and is it explainable?
Slack AI is a set of generative AI tools and uses a commercial off-the-air model that hasn't been trained on customer data.
Is my Slack data used to train third-party AI models?
No. No customer data is used to train third-party LLM models. Instead, we use a technique called Retrieval Augmented Generation (RAG) that sends the data necessary for each task to the LLM at inference time only – no training required. Because this data is sent in the context of a single request, the LLM does not retain any of the data.
Will Slack AI show private data members don’t have access to?
Slack AI only uses Slack data that members have access to at the time of request and won’t display or use data from private channels or DMs they aren’t a member of. For example, Slack search answers will never surface any results that Slack’s regular search would not. Similarly, summaries will never contain content that you could not otherwise see while reading channels or direct messages (DMs).
How does Slack AI protect the security of our data?
Conversation summaries and search answers produce ephemeral AI responses (ex. responses will eventually disappear when you navigate away or close out the result), and that data is not stored on devices or servers.
Recaps
Recap data is stored for 90 days so that you can temporarily revisit past recap history. If messages used in the recap are deleted or tombstoned (ex. a record to show data was deleted) by any deletion or compliance policy, the stored recap will also be deleted.
Channel summaries generated by a workflow
Unlike the conversation summaries that users generate for themselves, when you generate a channel summary with the Summarize public channelsworkflow step, the resulting summary is not an ephemeral AI response. Depending on the workflow’s subsequent steps, the channel summary can be sent as a message to a conversation, or added to and stored in a canvas. In these situations, the message or canvas containing the AI generated summary will be retained in Slack according to your organization’s data retention settings.
How does Slack AI prevent misleading information (or AI “hallucinations”)?
Slack AI results include citations to the source message that informed the summary or search answer. Select a citation to jump to the original message and review it for more details or verification. Additionally, Slack AI LLM prompts follow best practices from our model provider to ensure accurate, consistent, and safe results.
Can I turn off Slack AI or limit access?
Yes, when you purchase Slack AI, it's turned on by default but admins and owners can manage access if they need to.
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