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Be careful about sharing false or AI-generated content on LinkedIn: the responsibility will be yours alone - Softonic
LinkedIn will continue to offer features that can generate automated content, but it is now the user's responsibility LinkedIn is shifting the responsibility to users for sharing misleading or inaccurate information created by its own AI tools, instead of the tools themselves, in a completely
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LinkedIn says if you share fake or false AI-generated content, that's on you
LinkedIn is passing the responsibility onto users for sharing misleading or inaccurate information made by its own AI tools, instead of the tools themselves. A November 2024 update to its Service Agreement will hold users accountable for sharing any misinformation created by AI tools that violate
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LinkedIn warns: you are responsible for sharing inaccurate content created by our AI
A hot potato: Companies that offer generative AI tools tend to advise users that the content being created might be inaccurate. Microsoft's LinkedIn has a similar disclaimer, though it goes slightly further by warning that any users who share this misinformation will be held responsible for
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LinkedIn: If our AI gets it wrong, that's your problem
Artificial intelligence still no substitute for the real thing Microsoft's LinkedIn will update its User Agreement next month with a warning that it may show users generative AI content that's inaccurate or misleading. LinkedIn thus takes after its parent, which recently revised its Service
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LinkedIn updates its User Agreement, making users accountable for sharing AI-generated content that violates platform policies, raising questions about AI reliability and user responsibility.

LinkedIn, the Microsoft-owned professional networking platform, is set to implement a significant update to its User Agreement on November 20, 2024. This change will shift the responsibility for sharing potentially inaccurate or misleading AI-generated content from the platform to its users
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.The new agreement states that users may interact with features that automate content generation, but warns that such content "might be inaccurate, incomplete, delayed, misleading or not suitable for your purposes"
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. LinkedIn emphasizes that users must review and edit AI-generated content before sharing it, ensuring compliance with the platform's Professional Community Policies3
.This policy update places a significant burden on users to verify and potentially correct AI-generated content. Failure to do so could result in policy violations, with consequences ranging from content removal to account suspension or termination for repeat offenders
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.LinkedIn offers various AI-enhanced services, including:
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The platform has also begun using user-generated content to train its AI models by default, requiring users to opt-out if they don't want their data used
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.This move has sparked controversy, with critics pointing out the apparent contradiction between LinkedIn strictly enforcing policies against users sharing inauthentic content while potentially generating such content through its own AI tools
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. The Electronic Frontier Foundation's Kit Walsh noted the tension between "lofty claims of the power of language models versus language like this in user agreements protecting companies from the consequences of how unreliable the tools are"4
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LinkedIn's data usage practices have faced scrutiny, particularly in regions with strict data protection laws. The platform has suspended AI training on user data from the European Economic Area, Switzerland, and the UK following investigations and public outcry
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. However, users in other regions, including the US, must still opt-out if they don't want their data used for AI training4
.LinkedIn's approach aligns with a broader industry trend of companies distancing themselves from the potential inaccuracies of their AI tools. Microsoft, LinkedIn's parent company, updated its terms of service earlier in 2024 to remind users not to take AI services too seriously and to acknowledge the limitations of AI
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