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Greetings, re: eDiscovery: , Preparing your data for Copilot, Data Residency:, Communication Compliance:
Use Copilot / machine learning to implement and manage data points via tag(s) conforming to RCW data retention requirements. Using CORE document/pdf v 4.2 + as the source reference to review tenant data, including email.. Resultant data tagging based on source definitions taken from CORE v 4.2. Tagged would apply data creation date/age based retention policy/ies.
Is or will this be possible? It would be another game changer (IMHO). Thank you,
The support documentation, "Commercial data protection" says of data, "Microsoft has no 'eyes-on' access to it." Can you please explain exactly what this means? I'm hearing doubt that copilot.microsoft.com with CDP is entirely safe for sensitive or private information because "there must be some way for someone at Microsoft to access it if they really had to."
- Adparmar
Microsoft
"eyes-off data" refers to data that is not accessed or viewed by human reviewers unless it has been flagged by the abuse monitoring system. Human reviewers who assess potential abuse can access prompts and completions data only when that data has been flagged by the abuse monitoring system. The human reviewers are authorized Microsoft employees who access the data via point wise queries using request IDs, Secure Access Workstations (SAWs), and Just-In-Time (JIT) request additional approvals.
- Is there a way to have AI automatically move a file to a Google Drive?
That sound like an integration for PowerAutomate and is not directly related to Copilot for Microsoft 365. There are a lot of samples in the web available. One would be: https://www.youtube.com/watch?v=eIy23PsPQIc
- What steps would you recommend in introducing this technology to an older generation (60+) of retired volunteers?
- Hi Jennifer! Check out our Copilot Adoption Hub - should be a good place to start: https://aka.ms/AAqqkpq
- Could you provide more details about the search process when the web plugin is activated in Word or Copilot for Work (Chat)? I comprehend the underlying model with the Bing Search API, but customers are expressing dissatisfaction with the exclusion of the DPA for Bing and are eager to understand more about how this operates. How does the orchestration engine determine which information will be transmitted to the Bing Search API, and is it feasible to query the exact information that was sent to Bing using eDiscovery afterwards?
- What capability exists to sanitize CoPilot metadata across the various MS services? Is there a single-pane-of-glass available that will allow us to granularly manage the information that is collected by CoPilot? Can CoPilot be configured to exclude data that is labeled CUI, PII, etc.? How does it integrate with Purview and the native governance functionality within M365? Thank you!!
- If Copilot in Word creates information that contains personal data surfaced from documents within an organisation, is it possible to get links to where those documents are? When asking Copilot in Word for links, it just has [URL] and no actual link to the document, even if you ask it to create references. It is useful for organisations to know where this sensitive data is held so that they can remove/label the offending document. Copilot Chat often gives links, but not Copilot in Word. Thank you 🙂
- "it just has [URL] and no actual link to the document," Are you sure? Are you talking about the numbered "references" at the bottom of the Copilot reply? Even though they don't show the complete URL, when I click on them, my MS Edge opens to the precise link.
Yes I am 100% sure. I am talking about getting references to where Copilot in Word (desktop) has sourced information.
For example, I write a simple prompt into the prompt window for Copilot in Word desktop: "Create a draft of a training plan using documents within my organisation. Keep it to no longer than 10 pages. Provide a list of references." It creates a section called 'references', names the documents it used, but has [URL] that is unclickable, unnavigable, where the reference link should be. It a reference would look like "Training Plan template 2024 [URL]".
So it seems to be finding the file, using it as a source, but then just puts 'URL' in text, rather than a link to the document.
A customer has this happen and it was referencing a source that contained private information, and they needed to know where that document was. Additional attempts in Copilot in Word yielded no clickable links. Copilot Chat was unable to replicate where the sources came from.
Edited for paragraphing.
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- What provisions should a company make in an "AI Guideline" for its employees regarding the use of Copilot? - Is there probably even a draft Guideline for the use of Copilot in the company? (Maybe Copilot can write one? 😉
- Our company is interested in this same question. A draft guideline would be helpful.
- Hej, I'd like to ask on data privacy compliance, especially for the EU. (or is there a specific EU-AMA?) 1. I understood there is a data processor agreement for O365-Copilot licences and that those data will not be used for training of the general model. 2. But all data within a tenant is used for training the tenants model, right? 3. However, there might be data (e.g. employee health data) which should not be read by CoPilot. How can I exclude sensitive data, specifically protected e.g. by Art. 8 GDPR? (some other comment asked for labelling?) 4. How can I exercise data subjects rights of deletion? a) How can I delete personal data once it has been read by Copilot? Or how can I describe and demonstrate, that Copilot does not hold a copy of that data? b) How can I answer data access requests? What should I answer on what Copilot knows about an individual? c) How can I correct personal data in Copilot? Are there rights to do that or can anybody modify it? Best regards from Germany
- Thank you for your detailed questions. To ensure each of your queries receives the appropriate attention during our AMA, please post each question as a separate comment. This approach helps us provide more focused and detailed answers and makes it easier for other community members to find relevant discussions. We appreciate your cooperation and look forward to addressing your questions.
