Current Legal Issues of Training Artificial Intelligence Models on Copyrighted Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23320%2F25%3A43977792" target="_blank" >RIV/49777513:23320/25:43977792 - isvavai.cz</a>
Výsledek na webu
<a href="https://lawinbusiness.vse.cz/wp-content/uploads/Conference-proceedings-2025_final.pdf" target="_blank" >https://lawinbusiness.vse.cz/wp-content/uploads/Conference-proceedings-2025_final.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Current Legal Issues of Training Artificial Intelligence Models on Copyrighted Data
Popis výsledku v původním jazyce
Artificial intelligence is a field in which computer programs, thanks to their intelligence, reproduce, among other things, the intellectual activity of a person. The emergence of artificial intelligence dates back to 1956, when it was introduced by J. McCarthy at a conference at Dartmouth College, New Hampshire. Creators of artificial intelligence models often use data protected by copyright to train and improve their artificial intelligence models. The paper analyses the issue of copyrighted data (works) used for training generative artificial intelligence models from the perspective of admissibility of using such data (works), remuneration belonging to their authors, and liability relationships. The paper includes the current legal status and considerations on the legal regulation de lege ferenda.
Název v anglickém jazyce
Current Legal Issues of Training Artificial Intelligence Models on Copyrighted Data
Popis výsledku anglicky
Artificial intelligence is a field in which computer programs, thanks to their intelligence, reproduce, among other things, the intellectual activity of a person. The emergence of artificial intelligence dates back to 1956, when it was introduced by J. McCarthy at a conference at Dartmouth College, New Hampshire. Creators of artificial intelligence models often use data protected by copyright to train and improve their artificial intelligence models. The paper analyses the issue of copyrighted data (works) used for training generative artificial intelligence models from the perspective of admissibility of using such data (works), remuneration belonging to their authors, and liability relationships. The paper includes the current legal status and considerations on the legal regulation de lege ferenda.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
50501 - Law
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů