What can I do about this clause?

{'method': 'IN_APP', 'recipient': 'https://www.linkedin.com/mypreferences/d/data-for-generative-ai-improvement', 'difficulty': 'EASY', 'action_type': 'OPT_OUT_ARBITRATION', 'instructions': "Go to LinkedIn Settings > Data Privacy > 'Data for Generative AI Improvement' and toggle off to opt out of your content being used for AI training purposes.", 'deadline_days': None, 'deadline_hours': None}

Which regulatory agencies enforce this type of clause?

{'agency': 'FTC', 'reason': 'The FTC has authority under Section 5 of the FTC Act to challenge unfair or deceptive data practices, including repurposing user content for AI training without adequate disclosure.', 'complaint_url': 'https://reportfraud.ftc.gov/'}

What is the severity of this clause?

ConductAtlas classifies this AI and Machine Learning Content License clause as high severity. Severity reflects the magnitude of rights affected, the breadth of users impacted, and the degree of discretion the platform retains.

AI and Machine Learning Content License — LinkedIn

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What it is

When you post anything on LinkedIn — your profile, articles, photos, comments — you give LinkedIn a permanent, worldwide license to use that content to run and improve their services, including training AI systems, without paying you anything.

Consumer impact (what this means for users)

Your profile content, posts, photos, and even your name and likeness can be used by LinkedIn to train generative AI models without your ongoing consent or any compensation to you.

What you can do

⚠️ These actions may provide transparency or partial mitigation but may not fully address the underlying issue. Effectiveness varies by jurisdiction and individual circumstances.

Opt Out of Arbitration

Go to LinkedIn Settings > Data Privacy > 'Data for Generative AI Improvement' and toggle off to opt out of your content being used for AI training purposes.

How other platforms handle this

Bumble Medium

We want to help you find the best possible connections, so we developed matching algorithms to predict your compatibility with others and show you people we think are a good match for you. To predict your compatibility with others and recommend profiles, our matching algorithms use a range of factor...

Microsoft Medium

Microsoft's responsible AI principles include fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.

Microsoft Medium

To introduce AI responsibly, organizations should develop a Responsible AI Standard, like Microsoft's, covering principles such as fairness, reliability, privacy, and inclusiveness.

See all platforms with this clause type →

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Why it matters (compliance & risk perspective)

This license is broad and perpetual, meaning LinkedIn can use your professional content, name, image, and likeness to train AI models even after you delete it from the platform if it has already been shared.

View original clause language

You grant LinkedIn a nonexclusive, royalty-free, worldwide, sublicensable, transferable, and perpetual license to use, copy, modify, distribute, publish, and process information and content (including your name, voice, image, likeness or profile picture) that you provide through our Services and the services of our Affiliates, without any further consent, notice and/or compensation to you or others... This license is for the limited purpose of operating, developing, providing, and improving our Services. We will not sell the content you provide to us to third parties. However, we may share your information for the purposes outlined in the Privacy Policy, Cookie Policy, and other policies.

Institutional analysis (Compliance & legal intelligence)

REGULATORY FRAMEWORK: This provision implicates GDPR Art. 6(1)(b) (processing necessary for contract performance) and Art. 6(1)(f) (legitimate interests) for EU/EEA users, as well as GDPR Art. 22 regarding automated decision-making. The EU AI Act (Regulation 2024/1689), effective August 2024, imposes transparency obligations on providers of general-purpose AI models regarding training data, which this license facilitates. CCPA §1798.100 and §1798.120 may require opt-out mechanisms for use of personal information in AI training for California residents. The FTC Act Section 5 applies to potentially deceptive representations about how user data is used.

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Applicable agencies

FTC

The FTC has authority under Section 5 of the FTC Act to challenge unfair or deceptive data practices, including repurposing user content for AI training without adequate disclosure.
File a complaint →

Applicable regulations

Provision details

Document information

Document

LinkedIn User Agreement

Entity

Document last updated

March 24, 2026

Tracking information

First tracked

March 15, 2026

Last verified

April 9, 2026

Record ID

CA-P-002594

Document ID

CA-D-00091

Evidence Provenance

Source URL

https://www.linkedin.com/legal/user-agreement

Wayback Machine

View archived versions →

SHA-256

187484d810e3070b833f2ad255c960414e889938ea3e1b67143d488a662c60f6

Verified

✓ Snapshot stored ✓ Change verified

How to Cite

ConductAtlas Policy Archive
Entity: LinkedIn | Document: LinkedIn User Agreement | Record: CA-P-002594
Captured: 2026-03-15 11:07:03 UTC | SHA-256: 187484d810e3070b…
URL: https://conductatlas.com/platform/linkedin/linkedin-user-agreement/ai-and-machine-learning-content-license/
Accessed: April 29, 2026

Classification

Severity

High

AI and Machine Learning Content License