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AI – Legal Insights
Andrea Radonjanin, Head of IP practice, Partner at Moravcevic
Vojnovic and partners in cooperation with Schoenherr
Nikola Kliska, Head of IP, Karanovic & Partners
2
Copyright Issues in Input Data for Generative AI
o Data Ownership
o Fair Use and Transformative Use
(US/EU/Balkan approach)
o Court cases
o Data Licensing
o Public Domain Data
?
3
Types of Protection for AI Systems:
Databases
Trademarks
Patents
Copyright Protection
Trade Secrets
4
Mitigating Copyright Issues
• Data Auditing
• Permission and Licensing
• Algorithmic Controls
• Legal Consultation
5
Copyright Issues in Output Data for Generative
AI
o Output Ownership
o Status of Output works
o Infringement of earlier works by Output works
6
AI itself?
Authors whose works were
used for training?
AI developer?
1. Who owns the Output?
User/prompter?
7
How much human authorship is required for a user of an AI
system to qualify as the owner of AI-generated output?
How far from the creative input can the human sit to maintain
authorship?
Is generative AI truly
creative?
2. Output status – what is created?
karanovic / partners 8
Thaler Perlmutter
2. Output status – what is created?
9
Does Output copy or resemble earlier works?
Does Output “in style of”
infringe?
Does Output imitate earlier works?
3. Does Output infringe upon earlier works?
10
Practical considerations
• Humans are indispensable
• Examine Terms of Use
• Consider jurisdictions in which AI-assisted
works may be copyrightable
• Alternative protections (trademark, trade
secret and contractual protection)
Q
A
THANK YOU!

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[DSC Europe 23][Pandora] Nikola_Kliska_Andrea_Radonjanin_AI_-_Legal_Insights.pptx

  • 1. AI – Legal Insights Andrea Radonjanin, Head of IP practice, Partner at Moravcevic Vojnovic and partners in cooperation with Schoenherr Nikola Kliska, Head of IP, Karanovic & Partners
  • 2. 2 Copyright Issues in Input Data for Generative AI o Data Ownership o Fair Use and Transformative Use (US/EU/Balkan approach) o Court cases o Data Licensing o Public Domain Data ?
  • 3. 3 Types of Protection for AI Systems: Databases Trademarks Patents Copyright Protection Trade Secrets
  • 4. 4 Mitigating Copyright Issues • Data Auditing • Permission and Licensing • Algorithmic Controls • Legal Consultation
  • 5. 5 Copyright Issues in Output Data for Generative AI o Output Ownership o Status of Output works o Infringement of earlier works by Output works
  • 6. 6 AI itself? Authors whose works were used for training? AI developer? 1. Who owns the Output? User/prompter?
  • 7. 7 How much human authorship is required for a user of an AI system to qualify as the owner of AI-generated output? How far from the creative input can the human sit to maintain authorship? Is generative AI truly creative? 2. Output status – what is created?
  • 8. karanovic / partners 8 Thaler Perlmutter 2. Output status – what is created?
  • 9. 9 Does Output copy or resemble earlier works? Does Output “in style of” infringe? Does Output imitate earlier works? 3. Does Output infringe upon earlier works?
  • 10. 10 Practical considerations • Humans are indispensable • Examine Terms of Use • Consider jurisdictions in which AI-assisted works may be copyrightable • Alternative protections (trademark, trade secret and contractual protection)
  • 11. Q A