Start here · Essential guide
Ethics in Content Creation: A Plain-Language Guide
A plain-language overview of honesty, fairness and care for the people affected by what you publish, with practical questions to ask before you post.
Responsible Practice
Ethics, Consent and AI Media
Treating people, likeness and generated media with care.
Correcting Mistakes Publicly
Learn why open corrections protect trust, how to word a clear correction note, and how to handle errors in posts, videos and audio without hiding them.
Deepfakes and Synthetic Media Concerns
How fabricated video, audio and images can mislead audiences, what harms they cause, and the practices careful creators follow to avoid deceiving anyone.
Disclosing AI Use to Your Audience
Why telling viewers and readers about generated material builds trust, when disclosure matters most, and how to word a clear, proportionate label.
Fairness and Bias in Generated Output
Why AI-generated text, images and audio can reflect skewed patterns, and a practical way to review output critically before it reaches your audience.
Getting Consent When Featuring People
How to ask permission before featuring someone in your content, explain how it will be used, record their agreement and respect a decision to say no.
Likeness and Voice in Digital Media
Why a person's face and voice deserve special care in digital media, particularly when edited, cloned or generated, and how creators can respect them.
Privacy When Sharing Everyday Moments
How to think about bystanders, children and locations before you post photos or video, and simple habits that protect people's privacy without ruining your content.
Sponsorship Disclosure Principles
The general principle of telling audiences about paid or incentivized relationships, how to word and place a disclosure clearly, and why to check local rules.
Working with AI-Generated Media Responsibly
General principles for using AI-made images, audio and text honestly: check accuracy, respect people, understand rights uncertainty and stay accountable for the result.
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