To maintain a community built on trust, professional growth, and genuine peer-to-peer learning, we are introducing a formal policy regarding user identity.
The Rule
You must represent yourself and only yourself. Authenticity is the foundation of our forum. Every interaction—whether it is a technical question, a mentor’s guidance, or a networking post—relies on the understanding that you are who you say you are.
What is considered Impersonation?
Prohibited actions include, but are not limited to:
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Staff/Mentor Deception: Creating a profile that mimics the name, avatar, or title of a DeepLearning.AI employee, instructor, or community mentor.
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Peer Impersonation: Using the name, likeness, or biography of another forum member to post on their behalf or tarnish their reputation.
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False Identity: Creating accounts using the names or photos of real-world individuals (public figures or private citizens) that are not you.
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Misleading Affiliations: Claiming to represent a specific company, university, or organization without authorization.
Why this matters
Our community is a space for professional networking and academic support. Impersonation creates a risk for:
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Phishing and Scams: Users may share sensitive information or code if they believe they are talking to an official representative.
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Misinformation: False identities can be used to give “expert” advice that is incorrect or harmful.
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Loss of Trust: To build a global AI network, we must ensure that the person you are collaborating with today is the person they claim to be.
Enforcement
Violations of this policy are treated with zero tolerance.
- Accounts found to be impersonating others will be immediately suspended.
If you believe you have found an impersonator: Please use the “Flag” button on the post and select Impersonation. Our moderation team reviews these flags as a priority.