Natural Language Processing (NLP)

Natural Language Processing: How AI Understands Human Language in 2025

NLP technology has advanced to near-human understanding of language. This guide explains how AI processes text and speech with unprecedented accuracy in 2025.

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TrendFlash

September 26, 2025
3 min read
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Natural Language Processing: How AI Understands Human Language in 2025

Introduction: Who Owns AI-Generated Art?

You use AI to generate an image. Is it yours? Can you sell it? Can the AI company claim it? The answer is legally messy and evolving rapidly.


The Ownership Question

The Scenario

You: Create prompt, generate image with DALL-E

Question: Who owns the image?

  • You (creator)?
  • OpenAI (tool provider)?
  • Artists whose work trained the AI?
  • Everyone/nobody?

Current Legal Status

US Copyright Office: AI-generated art might not be copyrightable (needs human authorship)

Impact: If not copyrightable, anyone can use it freely

Exception: If human creative input is substantial, might be copyrightable

Problem: "Substantial" is undefined


The Claims

Claim 1: Artist Owns It

Argument: "I prompted, therefore I created"

Counter: Prompting ≠ creating (you didn't "make" it)

Reality: Somewhere between tool use and creation

Claim 2: OpenAI/Company Owns It

Their terms: Varies by platform

  • DALL-E: Users retain rights (OpenAI doesn't)
  • Midjourney: Users own commercial rights
  • Stable Diffusion: Depends on implementation

Reality: Companies hedging bets

Claim 3: Training Artists Own It

Argument: "AI trained on our art, we should benefit"

Status: Lawsuits pending (not resolved)

Complication: AI trained on billions of images, hard to track ownership

Claim 4: No One Owns It (Public Domain)

Argument: AI-generated art has no author, so public domain

Implication: Anyone can use freely

Status: Possible but not settled


Key Legal Cases

Case 1: Getty vs. Stability AI

Claim: Stability AI trained on Getty copyrighted images without permission

Status: Litigation ongoing

Significance: Could establish liability for training data use

Case 2: Artists v. AI Companies

Claim: Class action—artists claim copyright infringement from training

Status: Multiple cases pending

Significance: Could require permission/payment for training

Case 3: Copyright Office Ruling

Decision: AI-generated work rejected for copyright (humans must create)

Impact: AI art might be uncopyrightable

Implication: Anyone can use, no one owns


The Complications

Complication 1: Copyright vs. Training Data

Question: Does training AI on copyrighted work violate copyright?

Defense: Fair use (transformative purpose)

Status: Unsettled, likely to courts

Complication 2: Collective vs. Individual

Problem: AI trained on billions of images, impossible to track

Solution: Collective compensation funds? (Like music licensing)

Status: Not yet developed

Complication 3: Attribution

Question: If AI trained on artists' work, do we credit them?

Technical issue: Millions of images contributed, can't identify each

Complication 4: International Variation

Reality: Different countries have different copyright laws

Problem: No global standard yet


Commercial Implications

If AI Art Is Uncopyrightable

  • Anyone can use AI art freely
  • No commercial value (can't exclusively own)
  • Race to bottom on pricing

If Users Own AI Art

  • Users can commercialize
  • Creates market for AI art services
  • Artists displaced (can't compete with AI)

If Companies Own AI Art

  • Companies control output
  • Potential monopoly on AI-generated content
  • Users get no commercial rights

If Training Artists Own It

  • Complex licensing required
  • Training becomes expensive/regulated
  • AI development slows

Possible Futures

Scenario A: Court Rules AI Uncopyrightable

AI art is public domain → race to bottom → creators don't benefit

Scenario B: Licensing Framework Emerges

Like music: training licenses, artist compensation pools

Scenario C: Hybrid Model

Depends on "human creative input"—more input = more copyright protection


The Mess

The legal landscape is messy because:

  • Technology outpaced law
  • Competing interests (artists, companies, users)
  • International variation
  • Unsettled fundamental questions (what is authorship?)

Conclusion: The Battles Have Begun

AI art ownership is currently unsettled. Courts will eventually decide, but probably not before 2026-2027. Until then, expect chaos: users claiming they own art, companies hedging, artists fighting back. The outcomes will reshape whether AI art is viable commerce or public resource.

Explore more on AI legal issues at TrendFlash.

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