FAQ
PL | EN

Ustawienia prywatności (cookies)

Ta strona używa ciasteczek (cookies), dzięki którym nasz serwis może działać lepiej. Aby uzyskać więcej informacji i spersonalizować swoje preferencje, kliknij „Ustawienia”. W każdej chwili możesz zmienić swoje preferencje, a także cofnąć zgodę na używanie plików cookie na poniższej stronie.
Polityka prywatności (link otworzy się w nowym oknie)
* z wyjątkiem niezbędnych plików cookies do prawidłowego działania strony oraz realizacji obowiązków prawnych administratora
Przesuwając suwak w prawo aktywujesz konkretną zgodę. Przesuwając suwak w lewo wyłączasz taką zgodę.

Artificial Surrealism and Authors’ Rights

Data publikacji: 05.09.2025

Santander Art and Culture Law Review, 2025, 1/2025 (11), s. 179-204

https://doi.org/10.4467/2450050XSNR.25.009.21965

Autorzy

Artha Dermawan
University of Lapland
, Finlandia
https://orcid.org/0000-0003-4357-4656 Orcid
Kontakt z autorem
Wszystkie publikacje autora →

Pobierz pełny tekst

Drukuj drukuj Cytuj cytuj

Tytuły

Artificial Surrealism and Authors’ Rights

Abstrakt

As the world contends with social polarization and the erosion of democratic institutions, the stakes are higher than ever. Yet, despite these pressing challenges the future continues to be predominantly framed in economic terms. For instance, in the 400 pages of the Draghi report in Europe: art, creativity, and creative professionals remain sidelined, viewed as “weak” or “less relevant” portfolios. They are conspicuously absent from major global frameworks, such as the Sustainable Development Goals, the Green Deal, and the Democracy Action Plan. Meanwhile, Artificial Surrealism is already transforming the creative industries, posing new challenges to authors and human creativity. This article addresses the challenges posed by Artificial Intelligence (AI), particularly in the context of text and data mining (TDM). It provides an in-depth analysis of the European Union’s legislative response to TDM exceptions under the Copyright Digital Single Market Directive and highlights the need for a more effective remuneration system for authors. The article applauds the establishment of a Collective Licensing with Extended Effect (CLEE) regime, proposing a Training Data Remuneration Scheme administered by Collective Management Organizations (CMOs). Such a regime aims to secure fair compensation for authors whose works are used in training AI models. For the royalty distribution model, the article proposes a pro-rata calculation based on each author’s contribution to the AI training datasets, ensuring an equitable and transparent allocation of revenue.

Podziękowania

The author wishes to extend special thanks to Sam Ricketson, Rebecca Giblin, Rosa Ballardini, Péter Mezei, Silke von Lewinski, Vincenzo Iaia, Daniela De Angeli, and Danny Friedmann for their invaluable feedback on an earlier version of this work. The author also expresses appreciation to the anonymous peer reviewers and journal editors for their insightful input and support. Responsibility for the content and any errors in this article rests solely with the author.

Bibliografia

Pobierz bibliografię
2016. évi XCIII. törvény a szerzői jogok és a szerzői joghoz kapcsolódó jogok közös kezeléséről [Act XCIII of 2016 on the Collective Management of Copyrights and Rights Connected to Copyright], Magyar Közlöny 2016/92, p. 7308.

Agreement on Trade-Related Aspects of Intellectual Property, 15 April 1994, 1869 UNTS 299.

ALAI, Opinion on the Cross-Border Effect of Licences Granted for Digitization and Communication of Out-of-Commerce Works by Cultural Heritage Institutions Under a Regime of Extended Collective Licences (ECL), 14 September 2016, https://www.alai.org/en/assets/files/resolutions/160914-opinion-cross-border-ECL.pdf [accessed: 02.12.2024].

Alpaydın E., Introduction to Machine Learning, MIT Press, Cambridge, MA 2004.

Anadol R., Unsupervised, exhibition shown at the MoMA from 19 November 2022 to 29 October 2023, https://www.moma.org/calendar/exhibitions/5535 [accessed: 02.12.2024].

Arpit D. et al., A Closer Look at Memorization in Deep Networks, “ArXiv” 2017, http://arxiv.org/abs/1706.05394 [accessed: 02.12.2024].

Beaumont R., LAION-5B: A New Era of Open Large-Scale-Multi Modal Datasets, “LAION”, 31 March 2022, https://laion.ai/blog/laion-5b/ [accessed: 02.12.2024].

Berne Convention for the Protection of Literary and Artistic Works, 9 September 1886, as revised at Paris on 24 July 1971 and amended in 1979, S. Treaty Doc. No. 99-27.

Bonadio E., McDonagh L., Artificial Intelligence as Producer and Consumer of Copyright Works: Evaluating the Consequences of Algorithmic Creativity, “Intellectual Property Quarterly” 2020, Vol. 2.

Bosher H., Change is Afoot in the Music Industry as French Record Labels and Performers Agree Landmark Deal for Streaming Remuneration, “The IPKat”, 17 May 2022, https://ipkitten.blogspot.com/2022/05/change-is-afoot-in-music-industry-as.html [accessed: 02.12.2024].

Breton A., Manifesto of Surrealism, The University of Michigan Press, Ann Arbor 1924.

Bridy A., Coding Creativity: Copyright and the Artificially Intelligent Author, “Stanford Technology Law Review” 2012, Vol. 2.

Bundesgerichtshof, Judgment of 4 October 1990, I ZR 139/89.

Bundesgerichtshof, Judgment of 4 November 1966, Ib ZR 77/65.

Bundesgerichtshof, Judgment of 12 May 2011, I ZR 53/10.

Bundesgerichtshof, Judgment of 18 May 1955, I ZR 8/54.

Bundesgerichtshof, Judgment of 18 September 2014, I ZR 76/13.

Bundesgerichtshof, Judgment of 27 November 1956, I ZR 57/55.

Cai K., Startup Behind AI Image Generator Stable Diffusion Is in Talks to Raise at a Valuation up to $1 Billion, “Forbes”, 7 September 2022, https://www.forbes.com/sites/kenrickcai/2022/09/07/stability-ai-funding-round-1-billion-valuation-stable-diffusion-text-to-image/?sh=371b7fc724d6 [accessed: 02.12.2024].

Calabresi G., Melamed D., Property Rules, Liability Rules, and Inalienability: One View of the Cathedral, “Harvard Law Review” 1972, Vol. 85(6).

Case C-5/08, Infopaq International A/S v. Danske Dagblades Forening, ECLI:EU:C:2009:465.

Case C-145/10, Eva-Maria Painer v. Standard Verlags GmbH, Axel Springer AG, Süddeutsche Zeitung GmbH, SPIEGEL-Verlag Rudolf AUGSTEIN GmbH & Co KG and Verlag M. DuMont Schauberg Expedition der Kölnischen Zeitung GmbH & Co KG.

Case C-301/15, Marc Soulier and Sara Doke v. Ministre de la Culture et de la Communication and Premier Minister, ECLI:EU:C:2016:536.

Case C-306/05, Sociedad General de Autores y Editores de España (SGAE) v. Rafael Hoteles SA, ECR, 2006, I-11519.

Case C-351/12, Ochranný svaz autorský pro práva k dílům hudebním o.s. (OSA) v. Léčebné lázně Mariánské Lázně a.s., ECLI:EU:C:2014:110.

Case C-604/10, Football Dataco Ltd, Football Association Premier League Ltd, Football League Limited, Scottish Premier Leaguse Ltd, Scottish Football League and PA Sport UK Ltd v Yahoo! UK Limited, Stan James (Abingdon) Limites, Stan James PLC and Enetpulse APS.

Case C-683/17, Cofemel – Sociedade de Vestuário SA v. G-Star Raw CV, ECLI:EU:C:2019:721.

Castle C.L., Feijóo C., Study on the Artists in the Digital Music Marketplace: Economic and Legal Considerations, “WIPO”, 2021, https://www.wipo.int/meetings/en/doc_details.jsp?doc_id=540735 [accessed: 02.12.2024].

Chang K.K. et al., Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4, “ArXiv” 2023, http://arxiv.org/abs/2305.00118 [accessed: 02.12.2024].

Davis W., AI Companies Have All Kinds of Arguments Against Paying for Copyrighted Content, “The Verge” 2023, https://www.theverge.com/2023/11/4/23946353/generative-ai-copyright-training-data-openai-microsoft-google-meta-stabilityai [accessed: 02.12.2024].

Depreeuw S., Mandatory Collective Management of Copyright: When the Road to Deadlock Is Paved with Good Intentions, “Kluwer Copyright Blog”, 9 February 2022, https://copyrightblog.kluweriplaw.com/2022/02/09/mandatory-collective-management- of-copyright-when-the-road-to-deadlock-is-paved-with-good-intentions/ [accessed: 02.12.2024].

Dermawan A., AI v Copyright: How Could Public Interest Theory Shift the Discourse? “Journal of Intellectual Property Law and Practice” 2024, Vol. 19.

Dermawan A., Mezei P., Emotional AI and the Consensus-Based Remuneration Regime in Southeast Asia, “SSRN” 2023, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4625850 [accessed: 02.12.2024].

Directive 2001/29/EC of the European Parliament and of the Council of 22 May 2001 on the harmonisation of certain aspects of copyright and related rights in the information society, OJ L 167, 22.6.2001, p. 10.

Directive 2014/26/EU of the European Parliament and of the Council of 26 February 2014 on collective management of copyright and related rights and multi-territorial licensing of rights in musical works for online use in the internal market, OJ L 84, 20.3.2014, p. 72.

Directive 2019/790 of the European Parliament and of the Council of 17 April 2019 on Copyright and Related Rights in the Digital Single Market and amending Directives 96/9/EC and 2001/29/EC, OJ L 130, 17.5.2019, p. 92.

Directive (EU) 2019/1024 of the European Parliament and of the Council of 20 June 2019 on open data and the re-use of public sector information, OJ L 172, 26.6.2019, p. 56.

Drexl J. et al., Artificial Intelligence and Intellectual Property Law: Position Statement of the Max Planck Institute for Innovation and Competition of 9 April 2021 on the Current Debate, Max Planck Institute for Innovation and Competition Research Paper No. 21-10, 2021.

Ducato R., Strowel A., Ensuring Text and Data Mining: Remaining Issues with the EU Copyright Exceptions and Possible Ways Out, “European Intellectual Property Review” 2021, Vol. 43(5).

Ducato R., Strowel A., Limitations to Text and Data Mining and Consumer Empowerment: Making the Case for a Right to Machine Legibility, “International Review of Intellectual Property and Competition Law” 2019, Vol. 50.

Dussolier S., Realigning Economic Rights with Exploitation of Works: The Control of Authors over the Circulation of Works in the Public Sphere, in: B. Hugenholtz (ed.), Copyright Reconstructed: Rethinking Copyright’s Economic Rights in a Time of Highly Dynamic Technological and Economic Change, Kluwer Law International, Alphen aan den Rijn 2018.

European Commission, Study on Emerging Issues on Collective Licensing Practices in the Digital Environment. Final Report, Publications Office of the European Union, Luxembourg 2021, https://www.ivir.nl/publicaties/download/Study_on_collective_practices_in_the_digital_environment.pdf [accessed: 02.12.2024].

Farah H., Google and Universal Music Working on Licensing Voices for AI-Generated Songs, “The Guardian”, 9 August 2023, https://www.theguardian.com/technology/2023/aug/09/google-and-universal-music-working-on-licensing-voices-for-ai-generated-songs [accessed: 02.12.2024].

Flynn S. et al., Implementing User Rights for Research in the Field of Artificial Intelligence: A Call for International Action, “European Intellectual Property Review” 2020, Vol. 42(7).

Geiger C., The Missing Goal-Scorers in the Artificial Intelligence Team: Of Big Data, the Fundamental Right to Research and the Failed Text and Data Mining Limitations in the CSDM Directive, PIJIP/TLS Research Paper Series No. 66, 2021.

Geiger C., To Pay or Not to Pay (for Training Generative AI), That Is the Question, “JOTWELL” 2023.

Geiger C., Iaia V., The Forgotten Creator: Towards a Statutory Remuneration Right for Machine Learning of Generative AI, “Computer Law & Security Review” 2023, Vol. 52.

Gervais D.J., The Human Cause, in: R. Abbott (ed.), Research Handbooks on Intellectual Property and Artificial Intelligence, Edward Elgar, Cheltenham 2022.

Gesetz betreffend das Urheberrecht an Werken der bildenden Künste und der Photographie [Act on Copyright in Artistic Works and Photography], 9 January 1907.

Ginsburg J.C., Berne-Forbidden Formalities and Mass Digitization, “Boston University Law Review” 2016, Vol. 96.

Goldhammer K. et al., AI and Music: Market Development of AI in the Music Sector and Impact on Music Authors and Creators in Germany and France, 2024, https://www.goldmedia.com/fileadmin/goldmedia/Studie/2023/GEMA-SACEM_AI-and-Music/AI_and_Music_GEMA_SACEM_Goldmedia.pdf [accessed: 02.12.2024].

Guadamuz A., A Scanner Darkly: Copyright Liability and Exceptions in Artificial Intelligence Inputs and Outputs, “GRUR International” 2024, Vol. 73(2).

Güven K., Eliminating ‘Aesthetics’ from Copyright Law: The Aftermath of Cofemel, “GRUR International” 2022, Vol. 71.

Hacker P., The European AI Liability Directives – Critique of a Half-Hearted Approach and Lessons for the Future, “Journal of Computer Law & Security Review” 2023, Vol. 51.

Hacker P., Engel A., Mauer M., Regulating ChatGPT and Other Large Generative AI Models, “ArXiv” 2023, https://arxiv.org/abs/2302.02337 [accessed: 02.12.2024].

Hembt S., Lutzhöft N., Bond T., Long-Awaited German Judgment by the District Court of Hamburg (Kneschke v. LAION) on the Text and Data Mining Exception(s), “Bird & Bird”, 1 October 2024, https://www.twobirds.com/en/insights/2024/germany/long-awaited-german-judgment-by-the-district-court-of-hamburg-kneschke-v-laion [accessed: 02.12.2024].

Hitsuwari J. et al., Does Human–AI Collaboration Lead to More Creative Art? Aesthetic Evaluation of Human-Made and AI-Generated Haiku Poetry, “Computers in Human Behavior” 2023, Vol. 139.

Hui X., Reshef O., Zhou L., The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market, “SSRN” 2023, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4527336 [accessed: 02.12.2024].

Iaia V., To Be, or Not to Be… Original Under Copyright Law, That Is (One of) the Main Questions Concerning AI-Produced Works, “GRUR International” 2022, Vol. 71.

International Federation of Musicians, France: Agreement Establishing a Remuneration for Streaming, 26 June 2022, https://www.fim-musicians.org/french-streaming-agreement-2022/ [accessed: 02.12.2024].

Ippolito D. et al., Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy, “ArXiv” 2022, http://arxiv.org/abs/2210.17546 [accessed: 02.12.2024].

Joined cases C-403/08 and C-429/08, Football Association Premier League Ltd, NetMed Hellas SA, Multichoice Hellas SA v QC Leisure, David Richardson, AV Station plc, Malcolm Chamberlain, Michael Madden, SR Leisure Ltd, Philip George Charles Houghton, Derek Owen and Karen Murphy v Media Protection Services Ltd, ECLI:EU:C:2011:631.

Jones M., André Breton: Literary Surrealism within the Field of Cultural Production, “The Journal of Publishing Culture” 2014, Vol. 3.

Lag (1960:729) om upphovsrätt till litterära och konstnärliga verk [Act (1960:729) on Copyright in Literary and Artistic Works].

Lauber-Rönsberg A., Autonome „Schöpfung“ – Urheberschaft und Schutzfähigkeit, “GRUR” 2019.

Leistner M., Von „Grundig-Reporter(n) zu Paperboy(s)“ – Entwicklungsperspektiven der Verantwortlichkeit im Urheberrecht, “GRUR” 2006.

Lemley M., How Generative AI Turns Copyright Law on its Head, “SSRN” 2023, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4517702 [accessed: 02.12.2024].

Lemley M., Casey B., Remedies for Robots, “University of Chicago Law Review” 2019, Vol. 86, pp. 1311-1396.

Lewis M., AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block, “ArXiv” 2023.

Loi n° 92-597 du 1er juillet 1992 relative au code de la propriété intellectuelle (partie Législative) (1) [Law No. 92-597 of 1 July 1992 relating to the Intellectual Property Code (Legislative Part) (1)], Journal officiel de la République française, No. 153, 3 July 1992.

Longpre S. et al., Consent in Crisis: The Rapid Decline of the AI Data Commons, “ArXiv” 2024, https://arxiv.org/abs/2407.14933 [accessed: 02.12.2024].

Longpre S. et al., The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI, “ArXiv” 2024, https://arxiv.org/abs/2310.16787 [accessed: 02.12.2024].

Lucchi N., ChatGPT: A Case Study on Copyright Challenges for Generative Artificial Intelligence Systems, “European Journal of Risk Regulation” 2023, Vol. 15(3).

Margoni T., Kretschmer M., A Deeper Look into the EU Text and Data Mining Exceptions: Harmonisation, Data Ownership, and the Future of Technology, “GRUR International” 2022, Vol. 71(8).

Mezei P., A Saviour or a Dead End? Reservation of Rights in the Age of Generative AI, “European Intellectual Property Review” 2024, Vol. 46.

Mezei P., ‘You AIn’t Seen Nothing Yet’ – Arguments against the Protectability of AI-Generated Outputs by Copyright Law, in: M. Borghi, R. Brownsword (eds.), Informational Rights and Informational Wrongs: A Tapestry for Our Times, Routledge, Abingdon 2023.

Mezger L., Die Schutzschwelle für Werke der angewandten Kunst nach deutschen und europäischem Recht, V&R Unipress, Göttingen 2017.

Milmo D., ‘Impossible’ to Create AI Tools Like ChatGPT without Copyrighted Material, OpenAI Says, “The Guardian”, 8 January 2024, https://www.theguardian.com/technology/2024/jan/08/ai-tools-chatgpt-copyrighted-material-openai [accessed: 02.12.2024].

Murphy D., Best Midjourney Prompts: An Epic List of 644 Crazy Text to Image Ideas, “Creative Indie”, 1 November 2023, https://www.creativindie.com/best-midjourney-prompts-an-epic-list-of-crazy-text-to-image-ideas/ [accessed: 02.12.2024].

Nasr M. et al., Scalable Extraction of Training Data from (Production) Language Models, “ArXiv” 2023, http://arxiv.org/abs/2311.17035 [accessed: 02.12.2024].

Nayler R., AI and the Rise of Mediocrity, “Time”, 27 November 2023, https://time.com/6337835/ai-mediocrity-essay/ [accessed: 02.12.2024].

Ophavsretsloven [Danish Copyright Act].

Quintais J.P., Generative AI, Copyright and the AI Act (v.2), “SSRN” 2024, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4912701 [accessed: 02.12.2024].

Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act), OJ L, 2024/1689, 12.7.2024.

Reichsgericht, Judgment of 10 June 1911, Rep. I. 133/10.

Rosati E., Copyright at the CJEU: Back to the Start (of Copyright Protection), in: H. Bosher, E. Rosati (eds.), Developments and Directions in Intellectual Property Law, Oxford University Press, Oxford 2023.

Rosati E., Copyright in the Digital Single Market – Article-by-Article Commentary to the Provisions of Directive 2019/790, Oxford University Press, Oxford 2021.

Rosati E., No Step-Free Copyright Exceptions: The Role of the Three-Step in Defining Permitted Uses of Protected Content (including TDM for AI-Training Purposes), “European Intellectual Property Review” 2024, Vol. 46.

Rosati E., When Is a Derivative Work Original and Thus Protectable by Copyright? Classicist’s Critical Edition Makes Its Way to Luxembourg in Fresh Romanian CJEU Referral, “The IPKat”, 17 January 2024, https://ipkitten.blogspot.com/2024/01/when-is-derivative-work-original-and.html [accessed: 02.12.2024].

Salami E., AI-Generated Works and Copyright Law: Towards a Union of Strange Bedfellows, “Journal of Intellectual Property Law & Practice” 2020, Vol. 16.

Samuelson P., Allocating Ownership Rights in Computer-Generated Works, “University of Pittsburgh Law Review” 1986, Vol. 47.

Schmidt A., Wann ist Design Kunst im Sinne des Urheberrechts? Peter Lang, Berlin 2019.

Schricker G., Loewenheim U. (eds.), Urheberrecht, 6th ed., C.H. Beck, München 2020.

Senftleben M., AI Act and Author Remuneration – A Model for Other Regions? “SSRN” 2024, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4740268 [accessed: 02.12.2024].

Senftleben M., Generative AI and Author Remuneration, “International Review of Intellectual Property and Competition Law” 2023, Vol. 54.

Sganga C. et al., Copyright Flexibilities: Mapping and Comparative Assessment of EU and National Sources, “SSRN” 2023, https://ssrn.com/abstract=4325376 [accessed: 02.12.2024].

Shtefan A., Creativity and Artificial Intelligence: A View from the Perspective of Copyright, “Journal of Intellectual Property Law & Practice” 2021, Vol. 1.

Sobel B., A Taxonomy of Training Data Disentangling the Mismatched Rights, Remedies, and Rationales for Restricting Machine Learning, in: J.A. Lee, R.M. Hilty, K.C. Liu (eds.), Artificial Intelligence & Intellectual Property, Oxford University Press, Oxford 2021.

Spitz B., AI Data Mining: French Music Collecting Society Sacem Opts Out (With What Consequences?), “Kluwer Copyright Blog”, 25 January 2024, https://copyrightblog.kluweriplaw.com/2024/01/25/ai-data-mining-french-music-collecting-society-sacem-opts-out-with-what-consequences/ [accessed: 02.12.2024].

The Design and Artists Copyright Society (DACS), Artificial Intelligence and Artists’ Work (A Survey of Artists on AI), 2024, https://cdn.dacs.org.uk/uploads/documents/News/Artificial-Intelligence-and-Artists-Work-DACS.pdf [accessed: 02.12.2024].

Titcomb J., Warrington J., OpenAI Calls for Copyright Exemption to Save ChatGPT, “The Daily Telegraph” 2023.

Ueno T., The Flexible Copyright Exception for ‘Non-Enjoyment’ Purposes – Recent Amendment in Japan and Its Implication, “GRUR International” 2021, Vol. 70(2).

Urheberrechtsgesetz [Act on Copyright and Related Rights], 9 September 1965, as last amended by Article 25 of the Act of 23 June 2021, Bundesgesetzblatt I, p. 1858.

Xalabarder R., The Principle of Appropriate and Proportionate Remuneration for Authors and Performers in Art. 18 Copyright in the Digital Single Market Directive, “InDret” 2020, Vol. 4.

Yu P., The Algorithmic Divide and Equality in the Age of Artificial Intelligence, “Florida Law Review” 2020, Vol. 72.

Informacje

Informacje: Santander Art and Culture Law Review, 2025, 1/2025 (11), s. 179-204

Typ artykułu: Oryginalny artykuł naukowy

Autorzy

Publikacja: 05.09.2025

Status artykułu: Otwarte __T_UNLOCK

Licencja: CC BY 4.0  ikona licencji

Udział procentowy autorów:

Artha Dermawan (Autor) - 100%

Informacje o autorze:

Artha Dermawan is an Indonesia-qualified lawyer and a doctoral candidate at the University of Lapland (Finland), funded by the Max Planck Institute for Innovation and Competition (Germany). He is currently working as a researcher on the Horizon Europe-funded project titled Digitisation of Cultural Heritage of Minority Communities for Equity and Renewed Engagement EU (DIGICHEr). Through the publication of this article, Artha advocates for an open discussion on developing a fair and transparent remuneration model to support niche creative industries and foster responsible AI worldwide.

Korekty artykułu:

-

Języki publikacji:

Angielski

Liczba wyświetleń: 1894

Liczba pobrań: 770

Artificial Surrealism and Authors’ Rights

Artificial Surrealism and Authors’ Rights

cytuj

Pobierz PDF Pobierz

pobierz pliki

RIS BIB ENDNOTE