1. Conceptual Background

(a) What is AI-generated traditional dance choreography?

It involves:

• AI systems trained on video recordings of classical or folk dances (e.g., Bharatanatyam, Kathak, Flamenco, Haka)
• Machine learning models that:
  • Analyze movement patterns
  • Generate new choreography
  • Blend traditional and modern styles

The output may be:

• Entire dance routines created by AI
• Hybrid choreography based on traditional movements

2. Core Intellectual Property Issues

(1) Copyright Ownership

• Can a dance created by AI be copyrighted?
• Who owns it?
  • Programmer?
  • User?
  • Dataset owner?
  • No one?

(2) Originality Requirement

• Copyright requires human originality
• AI-generated choreography may lack direct human authorship

(3) Protection of Traditional Cultural Expressions (TCEs)

• Traditional dances are often:
  • Community-owned
  • Not individually authored
• Risk of cultural misappropriation

(4) Moral Rights and Cultural Integrity

• AI-generated variations may distort sacred or ritual dances

(5) Dataset Rights

• Training AI requires video datasets of dancers
• Issues:
  • Consent of performers
  • Ownership of recorded performances

3. Applicable Legal Framework

• Berne Convention (Copyright protection of artistic works)
• TRIPS Agreement
• WIPO initiatives on Traditional Cultural Expressions
• Indian Copyright Act, 1957
• National folklore protection frameworks (varies by country)

4. Important Case Laws (Detailed Explanation)

Case 1: Feist Publications v. Rural Telephone Service (1991, US Supreme Court)

Facts:

• A telephone directory was copied.
• The issue was whether facts arranged in a directory are protected.

Judgment:

• Copyright requires minimum creativity
• Mere effort or “sweat of the brow” is not enough

Principle:

“Originality requires independent creation and a modicum of creativity.”

Relevance to AI Choreography:

• AI-generated dance sequences:
  • May lack human creativity
• If choreography is purely machine-generated:
  • It may fail originality test

Case 2: Burrow-Giles Lithographic Co. v. Sarony (1884, US Supreme Court)

Facts:

• A photograph of Oscar Wilde was copied.
• Question: Is a photograph a copyrighted work?

Judgment:

• Yes, because it was a product of human intellectual conception

Principle:

• Copyright protects works originating from a human author

Relevance:

• AI-generated dance raises similar issue:
  • If no human “authorial control,” copyright may not exist

Case 3: Naruto v. Slater (Monkey Selfie Case, 2018, US Ninth Circuit)

Facts:

• A monkey took selfies using a camera.
• Photographer claimed copyright.

Judgment:

• Animals cannot hold copyright
• Only humans can be authors

Principle:

• Non-human creators are excluded from copyright ownership

Relevance to AI Dance:

• AI systems are treated similarly to animals in law:
  • They cannot be authors
• Therefore:
  • AI-generated choreography cannot be owned by AI itself

Case 4: Thaler v. Perlmutter / DABUS Cases (UK, US, EU decisions)

Facts:

• AI system “DABUS” created inventions.
• Applicant claimed AI as inventor.

Judgment:

• Courts rejected AI inventorship:
  • Inventor must be a natural person

Principle:

• Legal systems require human authorship or inventorship

Relevance:

• AI choreography cannot be independently copyrighted
• A human must:
  • Select, modify, or arrange AI output to claim ownership

Case 5: R.G. Anand v. Deluxe Films (1978, Supreme Court of India)

Facts:

• A playwright claimed a film copied his play.

Judgment:

• Copyright protects expression, not ideas
• Similarity must be substantial copying of expression

Principle:

• Idea-expression dichotomy

Relevance:

• Traditional dance movements (ideas) are not protected
• But:
  • A specific choreography sequence (expression) can be protected

AI implication:

• AI may reuse traditional steps (not protected ideas)
• But exact choreographic arrangement may be protected

Case 6: Eastern Book Company v. D.B. Modak (2008, Supreme Court of India)

Facts:

• Case law reports were edited and compiled.

Judgment:

• India adopted “skill and judgment with creativity” standard
• Not just labor, but some intellectual input is needed

Principle:

• Requires human intellectual effort beyond mechanical work

Relevance:

• If AI generates choreography:
  • Human editing or selection may be needed for protection
• Pure AI output may not qualify

Case 7: Nichols v. Universal Pictures (1930, US Court of Appeals)

Facts:

• Similar plot structure in two plays.

Judgment:

• General ideas and themes are not protected
• Only detailed expression is protected

Principle:

• “Levels of abstraction” test introduced

Relevance:

• Traditional dance forms:
  • Basic steps = ideas (not protected)
  • Specific choreographic arrangement = protected expression

AI implication:

• AI using Bharatanatyam mudras:
  • Allowed at idea level
• But copying a specific performance sequence:
  • May infringe copyright

Case 8: Football Association Premier League Ltd. v. QC Leisure (EU Court of Justice, 2011)

Facts:

• Use of broadcast content in public screenings

Judgment:

• Protection depends on:
  • Original creative input
  • Fixation of work

Principle:

• Fixation in tangible form is required for copyright protection

Relevance:

• AI-generated dance must be:
  • Recorded or fixed in video form
• Otherwise, no copyright subsists

5. Traditional Dance + AI: Special Legal Problems

(A) Cultural Appropriation

AI may:

• Modify sacred dances
• Commercialize tribal rituals

(B) Collective Ownership Issue

Traditional dances belong to:

• Communities
• Not individual creators

(C) Loss of Cultural Integrity

AI-generated versions may:

• Distort original meaning
• Remove ritual significance

(D) Lack of Legal Recognition of TCEs

Many jurisdictions do not fully protect:

• Folklore
• Traditional choreography

6. Legal Position Summary

(1) AI cannot be an author

Based on:

• Naruto case
• DABUS cases

(2) Human involvement is essential

• Editing
• Arrangement
• Selection

(3) Traditional dance steps are generally not protected

• But choreographic expression may be

(4) AI outputs may fall into public domain

Unless:

• Significant human creativity is added

7. Protection Strategies

(A) Copyright Protection

• Human-curated AI choreography

(B) Traditional Knowledge Databases

• Registering cultural expressions

(C) Moral Rights Protection

• Prevent distortion of sacred dances

(D) Contracts

• Licensing AI-generated choreography

(E) Ethical AI Governance

• Consent-based training datasets

8. Conclusion

IP protection of AI-generated traditional dance choreography is shaped by a consistent legal principle across jurisdictions:

Creativity must have a human origin.

From the case laws:

• Feist & Modak → require originality and creativity
• Burrow-Giles & Naruto → require human authorship
• DABUS cases → reject AI inventorship
• R.G. Anand & Nichols → distinguish idea vs expression
• Indian jurisprudence → emphasizes human intellectual contribution

Final takeaway:

AI can assist in generating choreography, but legal ownership arises only when a human adds creative control and transforms the output into an original expressive work, especially when dealing with culturally sensitive traditional dances.