Understanding AI-Generated Content and Deepfakes

What Is AI-Generated Content?

Generative artificial intelligence refers to systems that can create new content based on patterns learned from large amounts of existing data.

Today, AI tools can generate written text, images and illustrations, audio recordings and synthetic voices, videos and animations, computer code, and music and sound effects.

Many of these outputs can appear highly realistic, making it increasingly difficult to distinguish between human-created and AI-generated content.

AI-generated content is already being used in education, marketing, journalism, entertainment, design, and social impact projects.

Opportunities Created by Generative AI

Generative AI can offer significant benefits when used responsibly. It can help people:

💡 Generate ideas and overcome creative blocks
💡 Produce content more efficiently
💡 Create accessible learning materials
💡 Translate information into different languages
💡 Support communication and outreach efforts
💡 Develop prototypes and visual concepts quickly

🪄 For nonprofits, youth organizations, and social entrepreneurs, these tools can reduce costs and make content creation more accessible.

⚠️ However, these opportunities are accompanied by important ethical responsibilities ⚠️

Questions of Authorship and Ownership

When AI contributes to the creation of content, questions arise about authorship and ownership.

❓ Question: Who owns AI-generated content?
❗ Answer: Ownership of AI-generated content is divided into two distinct frameworks: legal copyright and platform terms of service (Jones, 2024).

1. Copyright Law
In the EU, U.S. and most other jurisdictions, copyright law requires human authorship.

Purely AI-Generated: Content created entirely by AI without significant human creative input belongs to the public domain. No one — not you, the AI developer, or the model itself — owns the copyright. Anyone can legally reuse or profit from it.
AI-Assisted: If a human uses AI as a tool and contributes significant creative input (e.g., heavily editing, arranging elements, or combining AI outputs with original human work), the human-authored portions can be copyrighted.

2. Platform Terms of Service
While you cannot hold a copyright for raw AI output, you are bound by the user agreement of the platform you use.

Major Providers: Platforms like OpenAI and Microsoft assign their rights to the user. This means that as between you and the company, you own the output and can reprint, sell, or merchandise it (OpenAI, n.d.; Smith & Nowbar, 2023).
Third-Party Enforcement: Because this is a contract rather than a legal copyright, you may not be able to stop third parties from using the content.

❓ Question: How much human involvement is necessary before a work becomes genuinely original?
❗ Answer: There is currently no single global answer to this question. Different countries and legal systems are still determining how existing copyright rules should apply to content created with the assistance of AI tools.

In many jurisdictions, copyright protection is generally granted only to works that reflect the 'author's own intellectual creation' — that is, works resulting from 'human creativity', 'judgment', and 'free choices' (European Parliamentary Research Service, 2025). However, when AI is involved in the creative process, it can be difficult to determine where the machine's contribution ends and the human creator's contribution begins.

For example, should a person who simply enters a short prompt into an AI system be considered the author of the final output? What if they spend hours refining prompts, editing results, combining multiple outputs, and making creative decisions throughout the process?

These questions remain the subject of ongoing legal and ethical debate. While many experts agree that meaningful human creative involvement is important for establishing authorship, there is still uncertainty about how much involvement is necessary and which types of human contribution should be recognized.

Understanding Deepfakes

A deepfake is a form of synthetic media that uses artificial intelligence to create or alter images, audio, or video in a way that convincingly imitates a real person.

Deepfakes can be used to recreate a person's voice, make someone appear to say things they never said, alter video footage, generate realistic images of people who do not exist.

❕ Not all deepfakes are harmful. Some are used for entertainment, education, filmmaking, or accessibility purposes.

🚩 However, deepfakes become ethically problematic when they are used to deceive, manipulate, or harm others.

Risks Associated with Deepfakes

Deepfakes can create serious challenges for individuals and society.

Potential risks include:

• Spreading misinformation or disinformation;
• Damaging a person's reputation;
• Fraud and financial scams;
• Political manipulation;
• Harassment and non-consensual content creation;
• Erosion of trust in digital media.

⚠️ As synthetic media becomes more realistic, people may become less confident in the authenticity of genuine images, videos, and recordings.

Consent and Personal Rights

📝 One of the most important ethical principles in the use of AI-generated media is consent.

Questions to consider:

❔ Did the person agree to have their image or voice used?
❔ Are they aware their likeness is being reproduced?
❔ Could the content cause emotional, professional, or financial harm?
❔ Is the content respectful of the individual's dignity and rights?

🚩 Using someone's likeness without permission may create ethical and legal concerns, even when the technology makes it technically possible.

Responsible Use of AI-Generated Content

📝 Organizations, educators, creators, and individuals can reduce risks by adopting responsible practices:

✅ Clearly disclosing when AI tools have been used
✅ Fact-checking AI-generated information
✅ Reviewing outputs before publication
✅ Obtaining consent when using a person's likeness
✅ Avoiding deceptive or misleading uses of synthetic media
✅ Maintaining human oversight for sensitive decisions and communications

❕ The goal is not to avoid AI entirely but to use it in ways that promote transparency, accountability, and trust.

Developing Critical Thinking Skills

💡 As AI-generated content becomes more common, digital literacy skills become increasingly important.

When encountering online content, ask yourself:

❔ Who created it?
❔ What evidence supports its claims?
❔ Could it have been altered or generated by AI?
❔ Is the source trustworthy?
❔ Has the information been verified elsewhere?

⚠️ Critical thinking remains one of the most effective tools for navigating an increasingly complex digital environment ⚠️

Key Takeaways

✔️ AI-generated content offers both opportunities and risks.
✔️ Deepfakes can be used for creative purposes but also for deception and manipulation.
✔️ Consent and transparency are essential ethical principles.
✔️ Human oversight remains crucial when using AI-generated content.
✔️ Critical thinking helps users evaluate the reliability of digital information.

References

European Parliamentary Research Service. (2025, December). Copyright of AI-generated works: Approaches in the EU and beyond (S. Karttunen, Author). https://www.europarl.europa.eu/RegData/etudes/BRIE/2025/782585/EPRS_BRI(2025)782585_EN.pdf

OpenAI. (n.d.). What is ChatGPT? https://help.openai.com/en/articles/6783457-what-is-chatgpt

Smith, B., & Nowbar, H. (2023, September 7). Microsoft announces new Copilot Copyright Commitment for customers. Microsoft On the Issues. https://blogs.microsoft.com/on-the-issues/2023/09/07/copilot-copyright-commitment-ai-legal-concerns/