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AI Video Ethics & Deepfake Prevention: A Responsible Use Guide Every Creator Must Read

2026-07-278 min readTomato AI Team
AI Video Ethics & Deepfake Prevention: A Responsible Use Guide Every Creator Must Read
Quick takeaway

Have you ever scrolled through your social feed and come across a video of "some celebrity saying something shocking," watched it three times, and only then realized — this is AI-generated? Or maybe a

Try this workflow

Have you ever scrolled through your social feed and come across a video of "some celebrity saying something shocking," watched it three times, and only then realized — this is AI-generated? Or maybe a client asked you to "swap the competitor CEO's face onto our ad," and you hesitated for a second, unsure how to say no?

AI video capabilities have experienced exponential growth in the past year. Kling 3 can generate lifelike character movements, Veo 3.1 approaches photographic quality in facial details, and Sora 2's multi-shot narratives are already indistinguishable from real footage. With great power comes great responsibility — in the AI video space, this isn't a platitude; it's a legal red line.

This article is a responsibility guide for every AI video creator. Whether you're producing commercial ads, self-media content, or personal projects, you must understand these ethical boundaries.

1. The AI Video Ethics Spectrum: What You Can and Cannot Do

🟢 Green Zone: Safe and Encouraged

  • Fictional characters and scenes: Entirely AI-generated non-real people, settings, and stories
  • Creative effects and stylization: Artistic processing of real footage (cartoonization, watercolor, cyberpunk style, etc.)
  • Educational and popular science content: Using AI to generate standard demonstrations, animated explanations, and historical scene reconstructions (labeled "AI Simulation")
  • Personal creative expression: Personal projects, artistic creations, experimental content for non-commercial use
  • Commercial ads (virtual characters): Using entirely virtual characters and scenes for brand promotion (labeled as AI-generated)

🟡 Yellow Zone: Proceed with Caution — Must Be Labeled

  • Digital doubles of real people: Using AI avatars of real individuals. Must obtain explicit written consent from the person and must be labeled "This is an AI-generated likeness"
  • Historical figure recreations: Using the likeness of deceased celebrities. Consider cultural sensitivity and family opinions. Must be labeled "AI Restoration/Simulation"
  • News event visualization: Using AI to reconstruct news event scenes. Must be clearly labeled "This is an AI-simulated scene, not real footage"
  • Political content: AI videos involving elections, policy, or public affairs. Extremely high risk; most platforms have special review policies

🔴 Red Zone: Absolutely Off-Limits

  • Unauthorized face-swapping (Deepfake): Replacing someone's face in any video without authorization
  • Non-consensual deepfake pornography: Generating or distributing any form of non-consensual AI pornographic content. Criminalized in most countries worldwide
  • Political deepfakes: Fabricating statements or actions of political figures to influence elections or public opinion
  • Identity fraud: Using AI to impersonate others for commercial or financial fraud. Criminal liability
  • False evidence: Creating AI videos as fake legal evidence or news evidence
  • Any form of deepfakes involving minors: Zero tolerance — the reddest of red lines

2. Global Regulatory Overview: This Isn't "A Problem for the Future"

AI video legal regulation is tightening rapidly worldwide. Here's what you need to know:

China

  • Administrative Provisions on Deep Synthesis in Internet Information Services (effective January 2023):

- Both deep synthesis service providers and users must conspicuously label AI-generated content - Deep synthesis must not be used to produce or disseminate illegal or harmful information - Deep synthesis involving sensitive areas such as biometrics and public welfare requires a security assessment

  • Interim Measures for the Management of Generative Artificial Intelligence Services (effective August 2023):

- Generative AI service providers bear the responsibility of content producers - AIGC content must comply with laws and regulations and respect social ethics - Effective measures must be taken to prevent the generation of false and harmful information

  • Article 1019 of the Civil Code: It is prohibited to use information technology to forge another person's likeness. Using another person's likeness without consent is prohibited.

European Union

  • AI Act (passed 2024, phased implementation):

- Deepfake content must be clearly labeled as artificially generated or manipulated - High-risk AI systems (including biometric identification) are subject to strict regulation - Fines for violations can reach up to 7% of global annual revenue or €35 million

United States

  • No unified federal legislation yet, but multiple states have enacted specific laws
  • California AB-730/AB-602: Prohibits election-related deepfakes and political deepfake pornography
  • Federal NO FAKES Act: Currently in the legislative process, would create a federal digital replication right
  • Major platforms (YouTube, TikTok, Meta) all have independent AI content labeling policies

Platform Policies at a Glance

PlatformAI Content PolicyViolation Consequences
YouTubeMust label "Altered or synthetic content"; deepfakes involving real people may be removedVideo removal → Channel strike → Channel termination
TikTokMust use platform AI labels; unauthorized deepfakes of public figures are prohibitedShadowban → Content removal → Account ban
DouyinAIGC content mandatory labeling; fictional content requires prominent noticeRemoval → Recommendation restriction → Ban
BilibiliAI-generated labeling encouraged; fictional content must be noted in title/thumbnailShadowban → Return for revision → Removal
Meta (FB/IG)AI-generated videos must be labeled; Meta may add "Made with AI" tagReduced recommendation → Removal → Account restriction
WeChat ChannelsAI-generated content labeling recommended; deep synthesis requires conspicuous labelingShadowban → Removal → Ban

Key takeaway: On all major platforms, "labeling" is not optional — it's mandatory. And platforms are getting better at automatically detecting unlabeled AI content.

3. Creator Self-Regulation Guidelines: Protecting Yourself and the Industry

1. Always Label, Always Be Honest

This is the first principle, with no exceptions. How to label:

  • In-video label: Display "AI-Generated" or "This video was created with AI technology" persistently at the beginning or in a corner
  • Description label: Declare the use of AI technology in the video description/introduction
  • Platform tag: Use the platform's built-in AI content labeling feature
  • Watermark: Add a semi-transparent AI-generated watermark to the footage

Practical example — how to label in the video intro and description:

【视频片头标注,持续3秒】
"本视频部分画面由AI生成 | AI-generated content"

【视频简介/描述区】
⚠️ 内容声明:本视频中的[角色/场景/特效]采用AI视频生成技术制作,
使用的工具为[Kling 3 / Veo 3.1 / Sora 2]。
所有AI生成内容均为创意表达,不涉及真实人物或事件。

2. Get Authorization: No "Act First, Ask Later"

  • Using a real person's likeness → Must have written authorization
  • Using others' works (illustrations, music, scripts) → Must obtain copyright permission
  • Imitating a specific style → Style is not protected by copyright, but if imitating specific works of a living artist, authorization is required
  • Using real landmarks/buildings → Commercial videos need to pay attention to trademark and trade dress rights

3. Content Review: AI Makes Mistakes, You're Responsible for Catching Them

AI video generation tools can fail in unexpected ways:

  • Bias and stereotypes: AI may inadvertently produce stereotypes related to race, gender, or body type
  • Inappropriate content: AI may generate visuals unsuitable for specific audiences
  • Factual errors: AI-generated "historical scenes" may differ significantly from actual history

Your responsibility: Review frame by frame after generation, and immediately correct or label any issues found.

4. Protect Vulnerable Groups

  • Never generate any form of deepfake content involving minors
  • When creating children's content, ensure visuals are mild and harmless, and characters are not overly anthropomorphized
  • When involving the elderly, people with disabilities, or other groups, avoid stereotypes and caricature

5. Maintain an "Ethics Log"

It is recommended to maintain a simple ethics checklist for every AI video project:

□ 是否标注了AI生成内容?方式是否显著?
□ 是否获得了所有必要的授权?
□ 内容是否涉及真实人物?(如有,是否有授权?)
□ 内容是否涉及政治/选举/公共事务?(如有,是否有额外审查?)
□ 是否已逐帧审核避免不当内容?
□ 目标受众是否包含未成年人?(如有,是否适合年龄?)
□ 是否可能误导观众认为是真实事件?
□ 是否符合发布平台的内容政策?

4. Ethical Safeguards at the Prompt Level

Smart creators build ethical safeguards right into their prompts:

✅ Safe Prompt Writing

生成一位虚构的"未来城市市长"发表演讲的片段。
角色描述:一位原创设计的40岁亚洲女性角色,
具有未来感但不模仿任何真实人物。
场景:科幻风格的新闻发布厅。
用途:科幻短片创作项目。
请确保角色与任何真实公众人物无明显相似性。

❌ Dangerous Prompt Writing (Don't Do This)

生成一段[某真实名人]的视频,让ta说[某些话]。
把[视频A]里的脸换成[某人]的脸。
模仿[某真实设计师]的作品风格,一模一样的那种。

5. Practical Advice: How to Create AI Videos Safely

Topic Selection Minefield Checklist

  • ✅ Pure fictional stories, sci-fi, fantasy
  • ✅ Educational and popular science (labeled as AI simulation)
  • ✅ Product showcases (virtual scenes)
  • ✅ Art experiments, stylized creations
  • ❌ "Fake scenes" imitating real news events
  • ❌ "Celebrity lookalike" face-swaps
  • ❌ Any form of political satire/forgery
  • ❌ Using AI to simulate real disasters or accidents

What If You've Been "Deepfaked"?

If your likeness has been maliciously used in deepfakes:

  • Preserve evidence: Save complete links, screenshots, and screen recordings
  • Platform complaint: All major platforms have deepfake reporting channels
  • Legal action: In China, you can file a civil lawsuit under Article 1019 (portrait rights) and Article 1017 (reputation rights) of the Civil Code
  • Technical defense: Use digital provenance standards like C2PA to mark your genuine content

6. Industry Trends: Ethics Will Become a Competitive Advantage

Creators should not see ethical rules as constraints, but as competitive advantages:

  • Trust premium: Creators who label AI content and remain transparent will earn higher audience trust
  • Platform-friendly: Compliant content receives better recommendation weighting
  • Brand safety: Major brands will only collaborate with "clean" creators
  • Legal safety: Compliance means zero litigation risk

A prediction: By 2027, "AI content labeling" will be as natural as "sponsored content" tags are today. Viewers won't look down on you for using AI, but they will block you for not labeling it.


Want to use the most advanced AI video tools while staying compliant?

Tomato AI strictly adheres to China's generative AI management regulations, with automatic watermark labeling for all generated content and comprehensive ethical compliance guidance. We integrate models including Kling 3, Veo 3.1, Sora 2, Seedance 2.0, and MiniMax, letting you unleash your creativity within safe boundaries. Sign up and start creating — compliance without worry.

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On this page

1. The AI Video Ethics Spectrum: What You Can and Cannot Do2. Global Regulatory Overview: This Isn't "A Problem for the Future"3. Creator Self-Regulation Guidelines: Protecting Yourself and the Industry4. Ethical Safeguards at the Prompt Level5. Practical Advice: How to Create AI Videos Safely6. Industry Trends: Ethics Will Become a Competitive Advantage