Google Deletes Post After Being Accused of Using AI to Steal Content From Creators

Hello HaWkers, the relationship between artificial intelligence and copyright has just gained another controversial chapter. Google deleted a post on X (formerly Twitter) after being accused of using AI to copy a recipe infographic from a content creator without giving credit.

This incident raises important questions: how far can big tech companies go when using human-created content to train and generate AI material? And how can developers and creators protect their work in this new era?

What Happened

The controversy started when content creators in the recipe niche noticed that Google had published an infographic that looked suspiciously similar to an independent creator's original work. The image, apparently generated or modified by AI, contained visual elements and even errors that indicated direct copying.

Timeline of Events

Original Post: Creator publishes recipe infographic with unique visual style
Google Post: Days later, official Google account shares very similar image
Accusations: Community identifies similarities and accuses of AI plagiarism
Reaction: Google silently deletes the post without official comments
Aftermath: Case goes viral and reignites debate about AI ethics

🔥 Context: This is not the first incident involving big tech and accusations of misusing creator content to train AI models.

Why This Matters For Developers

You might be thinking: "But I'm a developer, not a visual content creator." However, this case has direct implications for those working with technology.

Code Is Also At Risk

Just like images and text, source code is also used to train AI models. Tools like GitHub Copilot were trained with millions of public repositories, raising similar questions about intellectual property.

Points of attention for developers:

Code published in public repositories can be used to train AI
Software licenses are not always respected by models
Code snippets can appear in suggestions without attribution
Proprietary projects can have logic "leaked" through similar patterns

Impact on the Open Source Ecosystem

The open source community has built decades of collaborative work based on trust and attribution. When large companies use this work to create commercial AI products without adequate recognition, it can disincentivize future contributions.

The Legal and Ethical Debate

The question of copyright in AI-generated content is far from legally resolved. Different jurisdictions have distinct approaches, and technology advances faster than legislation.

Conflicting Positions

Side	Main Argument	Implication
Big Tech	"Fair use" for training	Total freedom to use public data
Creators	Copyright violation	Need for licensing and payment
Legal	Legal gray zone	Cases being decided in courts
Academic	Balance between innovation and rights	Balanced regulation

Ongoing Cases

Several lawsuits are underway against AI companies:

Getty Images vs Stability AI: Use of protected images to train Stable Diffusion
Authors vs OpenAI: Writers suing for use of books in training
Artists vs Midjourney: Class actions about copied artistic style
GitHub Copilot: Questions about GPL and MIT licenses

How to Protect Your Work

While legislation is not defined, there are practical measures that developers and creators can adopt to protect their content.

For Developers

1. Choose licenses carefully:

Licenses like GNU GPL v3 have more restrictive clauses that can make unauthorized commercial use more difficult. Consider what level of protection you want.

2. Use robots.txt files:

Add directives to block AI crawlers:

User-agent: GPTBot
Disallow: /

User-agent: ChatGPT-User
Disallow: /

User-agent: anthropic-ai
Disallow: /

User-agent: ClaudeBot
Disallow: /

3. Implement rate limiting:

const rateLimit = require('express-rate-limit');

const aiCrawlerLimiter = rateLimit({
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 10, // request limit
  message: 'Too many requests, try again later',
  skip: (req) => {
    // Block known AI user-agents
    const aiUserAgents = ['GPTBot', 'ChatGPT', 'anthropic', 'ClaudeBot'];
    const userAgent = req.get('User-Agent') || '';
    return !aiUserAgents.some(agent => userAgent.includes(agent));
  }
});

app.use('/api/', aiCrawlerLimiter);

4. Document your authorship:

Keep records of timestamps, commits, and versions that prove the originality of your work.

For Content Creators

Add visible and invisible watermarks to images
Register important works with copyright offices
Document the creative process with dates
Use platforms that respect authorship metadata

The Role of Big Tech

Companies like Google, Microsoft, OpenAI, and Anthropic have a responsibility to establish ethical practices for using training data.

What Should Change

Transparency:

Disclose which data sources were used in training
Allow creators to opt out of having their content used
Create automatic attribution systems

Compensation:

Revenue sharing models with creators
Funds to support the open source community
Fair content licensing

Technology:

Plagiarism detection systems in AI outputs
Watermarks in generated content
APIs for originality verification

The Future of Creation in the AI Era

This Google incident is just a symptom of a larger problem. The relationship between human creators and AI systems needs to be redefined to be sustainable.

Trends For 2025-2026

1. Stricter regulation:

The European Union is already advancing with the AI Act, which requires transparency about training data. Other countries should follow.

2. New software licenses:

Licenses specific to the AI era are being developed, with clauses about use in model training.

3. Data marketplaces:

Platforms that allow creators to license their work specifically for AI training, with fair compensation.

4. Detection tools:

Software that identifies when AI-generated content is based on specific works.

What Developers Can Do Today

Besides protecting your own work, developers can contribute to a fairer ecosystem.

Practical Actions

Participate in the debate: Contribute to discussions about AI ethics in communities like GitHub
Support detection projects: There are open source initiatives to identify AI plagiarism
Push for transparency: Demand that AI tools you use be transparent about their sources
Educate others: Share information about copyright and AI with your network

Conclusion

The case of Google deleting a post after accusations of AI plagiarism is a reminder that we are in uncharted territory. Technology has advanced, but the rules of the game are still being written.

As developers and creators, we have both the responsibility to protect our work and the opportunity to shape how AI will be used ethically in the future.

If you want to understand more about how AI is impacting software development, I recommend checking out the article 85% of Developers Use AI: What the JetBrains 2025 Survey Reveals where we explore how professionals are integrating these tools into their daily work.