The Code of Conduct category

Community-Team · November 9, 2023, 3:00pm

The DeepLearning.AI Community is a Civilized Place for Public Discussion.

We are a global community that works together to bring the knowledge of artificial intelligence to all people. Whether you’re looking to gain a new skill, build with AI for your own projects or job, get career advice, teach others, or establish your profile as a leader in the AI space, we are the community for you!

Please treat our community forum with respect. We are a shared resource — a place to share skills, knowledge and interests through ongoing conversation.

The conversations we have here set the tone for every new arrival. Help us influence the culture and future of this community by choosing to engage in discussions that make this forum an interesting place to be — and avoiding those that do not.

These guidelines are in place to help aid the human judgment of our community and keep this forum clean and welcoming for enlightening public discussion and shared learning.

Maintaining Integrity

At DeepLearning.AI, we emphasize the quality of our curriculum. We want members of our online community to join us in maintaining the integrity of our online courses, respecting our instructors’ contributions, and protecting the value of earning a certificate. We expect all community members to comply with both Coursera’s Honor Code as well as our own honor code, described below.

Plagiarism is when you take someone else’s work or ideas and pass them off as your own without giving credit to the original owner. This is a serious academic offense. If we find that you plagiarize any material, you will be removed from our community forum as well as any courses you are enrolled in. Any certificates you hold from DeepLearning.AI will be revoked. No refunds will be given to learners who plagiarize.
You should not post anything digital that belongs to someone else without permission or citing the work. You should not post descriptions of, links to, or methods for stealing someone’s intellectual property (software, video, audio, images).
You should not post descriptions of, links to, or methods for breaking any laws.
Only share data for legitimate purposes.
You may not share code repositories, websites, streaming or any links that lead to data that belongs to DeepLearning.AI (Such as quizzes, lectures, and labs). If you are sharing some code used for projects, you must cite DeepLearning.AI.
You should not share complete code or your solutions to quizzes or programming assignments with anyone other than a DeepLearning.AI mentor or staff member. If you are found posting solutions to our community forum, Github, or any other code repository, DeepLearning.AI reserves the right to suspend your account and conduct a full review of your engagement with our community. This may result in your being expelled from the community and having your certificates revoked.
You should not distribute slides, lecture notes, or other course materials from our DeepLearning.AI courses for commercial purposes. For example, you should not include notes on Github in exchange for any form of payment or service. This includes the sharing of code, solutions to quizzes or programming assignments to external groups/organizations.
Soliciting other forum members to join other communities or purchase outside products is prohibited.
You may freely distribute lecture slides for educational purposes under the Creative Commons License, as long as you cite DeepLearning.AI as the source. For example: DeepLearning.AI (2021, October 25). What is AI? Retrieved from AI4E: Lecture Notes
Obtain consent before sharing data. If you are sharing data that has been collected from individuals, you must obtain their consent before doing so.
Be clear about the terms of use for the data you are sharing. Let others know how they can use the data, and what restrictions there are (if any).
Be mindful of the potential biases in the data you are sharing. Data can reflect the biases of the people who collected it and the systems that were used to collect it. Be transparent about any potential biases in the data, and help others to understand how these biases might affect their use of the data.
Cite the authors of any data you share. This can be done by including a reference to the original publication or website where you found the data.
If you are unsure of how to cite the authors of a particular dataset, please consult with a community moderator or other knowledgeable member of the community.
Do not share data that is not your own without the permission of the copyright holder.
If you are unsure whether or not you have permission to share a particular dataset, please err on the side of caution and do not share it.
Be respectful of the authors of the data you share. This means not altering the data in any way without their permission and not using the data in a way that is inconsistent with their stated intentions.
If you are unsure of how to cite a dataset in a particular style, please ask members of the community.
You are permitted to create transcripts of content on this platform for personal use or non-commercial purposes.
Monetizing transcripts in any way, on any webpage or platform, is strictly prohibited.

By following these guidelines, you can help to ensure that the authors of the data you share are properly credited for their work. This is important for both ethical and legal reasons.

If you see someone violating this code of conduct, please report it to the community moderators. We will take all reports seriously and take appropriate action.

Be Respectful & Kind

It’s okay to disagree. It’s okay to criticize ideas. It is not okay to criticize people or belittle them for their ideas. You may wish to respond to something by disagreeing with it and that’s okay. We are a global community that encompasses many people, ideals, and opinions. Please avoid:

Name-calling
Ad hominem attacks
Responding to a post’s tone instead of its actual content
Knee-jerk contradiction
Being condescending. You can be right without being rude.

We encourage everyone to be a critical thinker and provide reasoned counter-arguments that improve the conversation.

Nothing sabotages a healthy conversation like rudeness:

Be civil. Don’t post anything that a reasonable person would consider offensive, abusive, or hate speech.
Keep it clean. Don’t post anything obscene or sexually explicit.
Respect each other. Don’t harass anyone, impersonate people, or expose their private information.
Respect our forum. Don’t post spam or vandalize the forum.

This is a public forum, and search engines index these discussions. Keep the language, links, and images safe for family and friends.

This is your community, speak up!

Mentors and moderators have special roles with enforcing the rules. But ultimately, this is your forum. You are responsible for setting the tone and encouraging discussions about what matters in AI.

If you see a post that violates the DeepLearning.AI code of conduct or forum policy please flag it. But do not reply. Acknowledging bad behavior only encourages more of the same. This will consume your energy and waste everyone’s time. Just flag it. Action will be taken, either automatically or by moderator intervention. If an issue arises that requires immediate attention please reach out directly to one of our community mentors or moderators and they will be able to assist moving forward and/or loop in the appropriate staff person if needed.

In order to maintain our community, moderators reserve the right to remove any content and any user account for any reason at any time. Moderators do not review/screen every new post; the moderators and site operators take no responsibility for any content posted by the community.

Help Guide the Discussion

This site is operated by your friendly staff and “You” the community. If you have any further questions about how things should work here, open a new topic in the site feedback category and let’s discuss! If there’s a critical or urgent issue that can’t be handled by a meta topic or flag, contact us via community@deepLearning.AI

Consequences of violating the Code of Conduct and Forum Policies

Our policies are put in place to maintain a safe and respectful learning environment for all. All reports made to DeepLearning.AI will be taken seriously. Those who don’t follow the Code of Conduct in good faith may face repercussions deemed appropriate by our team. We reserve the right to suspend any account associated with the offense until a full review is conducted. Repeat offenses will result in immediate removal from the community.

This is how we handle violations and misconduct:

Reach out: We will send the user a direct message if he understands that the person is violating the code of conduct and guide the user to the Code of conduct which is being violated.
Initial Warning: For most first-time misconduct, our team will remove offending content and send a warning. Most issues are resolved at this stage.
Silence User: For misconduct or behavior containing abusive language or criticism that could negatively impact the forum environment. For instance, spamming the forum with the same topic or in multiple categories or within the same category.
Our team will remove all such posts and silence the user(add amount of time.
Suspend User: For repetitive unacceptable behavior, our team will suspend the user’s account. Users found to instigate groupism , regionalism or divert members of the community to other external forums for personal benefit may be suspended.
Expel User: Our team will expel learners who display a pattern of destructive behavior toward other community members. This may be due to repeated violations of relatively minor offenses, such as spamming or making fun of another learner. Or, it may be due to major offenses, such as plagiarism. Learners who have been expelled will have all their posts deleted or anonymized (depending on the post). Additionally, they will be removed from any DeepLearning.AI courses and have their certificates revoked.

See our Zero Tolerance Policy for additional details.