LinkedIn’s use of your data for Generative AI improvement

Image of a latop with a LinkedIn profile open

You may be surprised to know that if you DON’T want LinkedIn and its affiliate to use your personal data and content you create on LinkedIn to train generative AI models that create content, the onus is on you to opt out.

“The Data for Generative AI Improvement member setting is set to “on” by default, unless you opt-out by turning it “off.” Turning the setting off means that we (LinkedIn and our affiliates) won’t use the data and content you provided to LinkedIn to train models that generate content going forward. Opting out does not affect training that has already taken place. (LinkedIn, 2025a)

“As with most features on LinkedIn, we collect and use (or process) data about your use of the platform, including personal data. This could include data about your use of generative AI (AI models used to create content) or other AI features, your posts and articles, your saved job application answers and resumes, how frequently you use LinkedIn, your language preference, and any feedback you may have provided to our teams.” (LinkedIn, 2025b)

What data is used by LinkedIn?

LinkedIn’s FAQ page (2025b) states:

We use the following categories of data to train our generative AI models that create content:

  • Profile Data: Data that members provide in their LinkedIn profile, such as: name, photo, current position, prior work experience, education, location, skills, certifications, licenses , volunteering experiences, publications, patents, endorsements, and recommendations.
  • GAI Usage Data: Content members input into our GAI features (e.g., prompts, search text, requests, questions)
  • Jobs-related Data: Responses to screening questions and resumes that members add to their LinkedIn account for ongoing and future use (but are not tied to specific customers or job applications)
  • Groups Data: Group activity and group messages
  • Member Content: Member posts, articles, poll responses, contributions and comments (all formats)
  • Feedback: Feedback and improvement data, which may include support requests from members, thumbs up/down reactions to AI-generated suggestions, reporting of issues with generative AI content, or feedback submitted through our feedback features

Some examples of data we won’t use to train our generative AI models that produce content include:

  • Private messages (including your InMail and Inbox messages)
  • Log-in credentials (such as passwords, authentication credentials and tokens, encryption and signing keys)
  • Payment methods and credit card data
  • Member-provided salary data or job application data attributable to a specific member

How to opt out

  • Go to your profile page and click on the small profile picture that appears in the top right corner.
  • Select ‘Settings and Privacy’
  • Select ‘Data Privacy’
  • Select ‘Data for Generative AI improvement’
  • Turn the green button to off for ‘Use my data for training content creation AI models’
Data for gerneative ai improvement instruction page to turn off.

References

LinkedIn (2025a) Control whether LinkedIn uses your data to improve generative AI (GAI) models that are used for content creation on LinkedIn. LinkedIn Help. https://www.linkedin.com/help/linkedin/answer/a6278444
LinkedIn (2025b) LinkedIn and generative AI (GAI) FAQs. LinkedIn Help.
https://www.linkedin.com/help/linkedin/answer/a5538339

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About Sue Beckingham

An Associate Professor, National Teaching Fellow and Teaching and Learning lead for Computing and Digital Technologies at Sheffield Hallam University with a research interest in the use of social media in higher education.
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