Transforming Curatorial Practices: The Role of AI and Blockchain in Shaping an Ethical Art-Science Paradigm for Public Policy
Abstract
The integration of artificial intelligence (AI) and blockchain technology in curatorial practice offers transformative potential for managing, presenting, and distributing both traditional and digital art. This study explores how AI enhances curatorial processes through advanced data analysis and personalized visitor experiences. AI assists curators in organizing collections and recommending artworks tailored to individual preferences, fostering greater engagement with dynamic, customized exhibitions. Blockchain technology, on the other hand, ensures the provenance of decentralized artworks, guaranteeing authenticity and transparency. It addresses issues like counterfeiting, ownership disputes, and secure transactions, while supporting artists through smart contracts that ensure equitable compensation. However, ethical concerns remain. These include biases in AI algorithms, intellectual property challenges in decentralized NFT platforms, and limited digital access for marginalized artists. Academic studies and case analyses underscore these challenges and advocate for collaboration among curators, artists, technologists, and policymakers. This approach seeks to resolve ethical dilemmas, promote inclusivity, and maintain cultural integrity in implementing these technologies. The study emphasizes the need for public policy frameworks to regulate AI and blockchain, ensuring fair compensation and equitable access to their benefits while safeguarding cultural values. By addressing these concerns, these technologies can unlock new possibilities for the art world.
Transformasi Praktik Kuratorial: Peran AI dan Blockchain dalam Membentuk Paradigma Seni-Sains yang Etis untuk Kebijakan Publik
Abstrak
Integrasi kecerdasan buatan (AI) dan teknologi blockchain dalam praktik kuratorial menawarkan potensi transformatif untuk mengelola, menyajikan, dan mendistribusikan seni baik tradisional maupun digital. Studi ini mengeksplorasi bagaimana AI meningkatkan proses kuratorial melalui analisis data yang mutakhir dan pengalaman pengunjung yang dipersonalisasi. AI membantu kurator dalam mengatur koleksi dan merekomendasikan karya seni yang disesuaikan dengan preferensi individu, mendorong keterlibatan yang lebih besar dengan pameran yang dinamis dan disesuaikan. Di sisi lain, teknologi blockchain memastikan asal-usul karya seni yang terdesentralisasi, menjamin keaslian dan transparansi. Teknologi ini mengatasi masalah seperti pemalsuan, sengketa kepemilikan, dan transaksi yang aman, serta mendukung para seniman melalui kontrak pintar yang memastikan kompensasi yang adil. Akan tetapi, masalah etika tetap ada. Ini termasuk bias dalam algoritma AI, tantangan kekayaan intelektual dalam platform NFT yang terdesentralisasi, dan akses digital yang terbatas untuk seniman yang terpinggirkan. Studi akademis dan analisis kasus menggarisbawahi tantangan-tantangan ini dan mengadvokasi kolaborasi di antara kurator, seniman, ahli teknologi, dan pembuat kebijakan. Pendekatan ini berusaha untuk menyelesaikan dilema etika, mempromosikan inklusivitas, dan menjaga integritas budaya dalam mengimplementasikan teknologi ini. Studi ini menekankan perlunya kerangka kerja kebijakan publik untuk mengatur AI dan blockchain, memastikan kompensasi dan akses yang adil terhadap manfaatnya sambil menjaga nilai-nilai budaya. Dengan mengatasi masalah ini, teknologi ini dapat membuka peluang baru bagi dunia seni.
Keywords
Full Text:
PDFReferences
Asikin, U. (2023). Intellectual property rights in using blockchain technology from a contemporary Islamic legal perspective. Daengku Journal of Humanities and Social Sciences Innovation, 3(6), 981–997. https://doi.org/10.35877/454ri.daengku2148
Audry, S. (2021). Art in the age of machine learning. https://doi.org/10.7551/mitpress/12832.001.0001
Bellaiche, L., Shahi, R., Turpin, M., Ragnhildstveit, A., Sprockett, S., Barr, N., … & Seli, P. (2023). Humans versus AI: Whether and why we prefer human-created compared to AI-created artwork. Cognitive Research Principles and Implications, 8(1). https://doi.org/10.1186/s41235-023-00499-6
Capocasale, V., & Perboli, G. (2022). Standardizing smart contracts. IEEE Access, 10, 91203-91212. https://doi.org/10.1109/access.2022.3202550
Charles, V., Emrouznejad, A., & Gherman, T. (2023). A critical analysis of the integration of blockchain and artificial intelligence for supply chain. Annals of Operations Research, 327(1), 7-47. https://doi.org/10.1007/s10479-023-05169-w
Chatterjee, A. (2022). Art in an age of artificial intelligence. Frontiers in Psychology, p. 13. https://doi.org/10.3389/fpsyg.2022.1024449
Chembe, C. (2023). The fuss about artificial intelligence in the education sector: Should we worry? Zambia ICT Journal, 7(2), 30-35. https://doi.org/10.33260/zictjournal.v7i2.269
Daneshjou, R., Vodrahalli, K., Novoa, R., Jenkins, M., Liang, W., Rotemberg, V., … & Chiou, A. (2022). Disparities in dermatology AI performance on a diverse, curated clinical image set. Science Advances, 8(32). https://doi.org/10.1126/sciadv.abq6147
Echesony, G. (2024). Perception of gender roles in modern art exhibitions in Nigeria. American Journal of Arts Social and Humanity Studies, 4(1), 33-42. https://doi.org/10.47672/ajashs.2066
Edema, T. (2023). Contract law in an era of technology: Examining liability in smart contract transactions. ALJ, 8(1), 74-92. https://doi.org/10.53982/alj.2020.0801.05-j
Gangadharbatla, H. (2021). The role of AI attribution knowledge in the evaluation of
artwork. Empirical Studies of the Arts, 40(2), 125-142. https://doi.org/10.1177/0276237421994697
Giannini, T., & Bowen, J. (2022). Museums and digital culture: From reality to digitality in the age of COVID-19. Heritage, 5(1), 192-214. https://doi.org/10.3390/heritage5010011
Goldenfein, J., & Leiter, A. (2018). Legal engineering on the blockchain: ‘Smart contracts’ as legal conduct. Law and Critique, 29(2), 141-149. https://doi.org/10.1007/s10978-018-9224-0
Gollapalli, S., Du, M., & Ng, S. (2023). Generating reflective questions for engaging gallery visitors in ArtMuse. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16434-16436. https://doi.org/10.1609/aaai.v37i13.27070
Goncharov, D., Rychkova, N., & Slukin, S. (2019). Some aspects of copyright and related rights protection in the digital environment. Proceedings of the International Conference on Modern Technologies in Digital Economy. https://doi.org/10.2991/mtde-19.2019.91
Hamledari, H., & Fischer, M. (2021). Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies. Automation in Construction, 132, 103926. https://doi.org/10.1016/j.autcon.2021.103926
Ivanov, R. (2023). ExhibitXplorer: Enabling personalized content delivery in museums using contextual geofencing and artificial intelligence. Preprints. https://doi.org/10.20944/preprints202308.1925.v1
Jacobs, M., & Simon, J. (2022). Reexamining computer ethics in light of AI systems and AI regulation. AI and Ethics, 3(4), 1203-1213. https://doi.org/10.1007/s43681-022-00229-6
Janssen, A., & Đurović, M. (2018). The formation of blockchain-based smart contracts in the light of contract law. European Review of Private Law/Revue Européenne De Droit Privé/Europäische Zeitschrift Für Privatrecht, 26(6), 753-771. https://doi.org/10.54648/erpl2018053
Jobin, A., & Ienca, M. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399. https://doi.org/10.1038/s42256-019-0088-2
Kamposiori, C., Warwick, C., & Mahony, S. (2018). Accessing and using digital libraries in art history. In Digital Humanities and Scholarly Research Trends in the Asia-Pacific (pp. 83-101). https://doi.org/10.1007/978-3-319-76992-9_6
Kazim, E., & Koshiyama, A. (2020). A high-level overview of AI ethics. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3609292
Khan, A., Akbar, M., Fahmideh, M., Liang, P., Waseem, M., Ahmad, A., … &
Abrahamsson, P. (2023). AI ethics: An empirical study on the views of practitioners and lawmakers. IEEE Transactions on Computational Social Systems, 10(6), 2971-2984. https://doi.org/10.1109/tcss.2023.3251729
Khan, A., Akbar, M., Fahmideh, M., Peng, L., Waseem, M., Ahmad, A., … & Abrahamsson, P. (2022). AI ethics: Software practitioners and lawmakers’ points of view. arXiv. https://doi.org/10.48550/arxiv.2207.01493
Khan, A., Badshah, S., Liang, P., Khan, B., Waseem, M., Niazi, M., … & Akbar, M. (2022). Ethics of AI: A systematic literature review of principles and challenges. Proceedings of the ACM, 11, 383-392. https://doi.org/10.1145/3530019.3531329
Kihia, S. (2023). Billfish in coastal visual art in Kenya: A resource for ocean science communication. Western Indian Ocean Journal of Marine Science, 22(1), 67-77. https://doi.org/10.4314/wiojms.v22i1.7
Kong, F. (2020). Application of artificial intelligence in modern art teaching. International Journal of Emerging Technologies in Learning (Ijet), 15(13), 238. https://doi.org/10.3991/ijet.v15i13.15351
Kudumakis, P., Wilmering, T., Sandler, M., Rodríguez-Doncel, V., Boch, L., & Delgado, J. (2020). The challenge: From MPEG intellectual property rights ontologies to smart contracts and blockchains [Standards in a nutshell]. IEEE Signal Processing Magazine, 37(2), 89-95. https://doi.org/10.1109/msp.2019.2955207
Lewicki, M. (2022). Taming liquidity: The relation between materiality and the value of artworks on the example of Polish NFT auctions. Widok Teorie I Praktyki Kultury Wizualnej, (34). https://doi.org/10.36854/widok/2022.34.2630
Mala, C. (2023). Revolutionizing industries with blockchain and AI: A journey into decentralized intelligence. https://doi.org/10.51219/urforum.2023.chandana-sree-mala
Mamykina, L., Epstein, D., Klasnja, P., Sprujt-Metz, D., Meyer, J., Czerwinski, M., … & Lim, B. (2022). Grand challenges for personal informatics and AI. https://doi.org/10.1145/3491101.3503718
Mandych, O. (2023). Integration of artificial intelligence into the blockchain and cryptocurrency market. Modeling the Development of the Economic Systems, (4), 61-66. https://doi.org/10.31891/mdes/2023-10-8
Morley, J., Floridi, L., Kinsey, L., & Elhalal, A. (2019). From what to how: An initial review of publicly available AI ethics tools, methods, and research to translate principles into practices. Science and Engineering Ethics, 26(4), 2141-2168. https://doi.org/10.1007/s11948-019-00165-5
Murphy, K., Ruggiero, E., Upshur, R., Willison, D., Malhotra, N., Cai, J., … & Gibson, J. (2021). Artificial intelligence for good health: A scoping review of the ethics literature. BMC Medical Ethics, 22(1), Article 8. https://doi.org/10.1186/s12910-021-00577-8
O'Dwyer, R. (2018). Limited edition: Producing artificial scarcity for digital art on the blockchain and its implications for the cultural industries. Convergence: The International Journal of Research Into New Media Technologies, 26(4), 874-894. https://doi.org/10.1177/1354856518795097
Oyelude, A. (2022). Trending issues in advancing blockchain technology in libraries, archives, and museums. Library Hi Tech News, 39(6), 6-7. https://doi.org/10.1108/lhtn-06-2021-0040
Pang, Z., Yi, W., & Zhou, H. (2023). Research and analysis on the information management of intellectual property in military academies based on blockchain technology. https://doi.org/10.4108/eai.9-12-2022.2327731
Park, J., Jeong, S., & Yeom, K. (2023). Smart contract broker: Improving smart contract reusability in a blockchain environment. Sensors, 23(13), 6149. https://doi.org/10.3390/s23136149
Pereira, G., & Moreschi, B. (2019). Ways of seeing with computer vision: Artificial intelligence and institutional critique. https://doi.org/10.33767/osf.io/nv9z2
Piancatelli, C., Massi, M., & Vocino, A. (2020). #artoninstagram: Engaging with art in the era of the selfie. International Journal of Market Research, 63(2), 134-160. https://doi.org/10.1177/1470785320963526
Piskopani, A. (2023). Responsible AI and the arts: The ethical and legal implications of AI in the arts and creative industries. Proceedings of the ACM. https://doi.org/10.1145/3597512.3597528
Pisoni, G., Díaz-Rodríguez, N., Gijlers, H., & Tonolli, L. (2021). Human-centered artificial intelligence for designing accessible cultural heritage. Applied Sciences, 11(2), 870. https://doi.org/10.3390/app11020870
Rangarajan, S. (2023). Navigating the future of the Internet of Things: Emerging trends and transformative applications. BJIoT, 2023, 8-12. https://doi.org/10.58496/bjiot/2023/002
Rani, S., Jining, D., Shah, D., Xaba, S., & Singh, P. (2023). Exploring the potential of artificial intelligence and computing technologies in art museums. ITM Web of Conferences, 53, 01004. https://doi.org/10.1051/itmconf/20235301004
Rao, K., & Manvi, S. (2023). Survey on electronic health record management using amalgamation of artificial intelligence and blockchain technologies. Acta Informatica Pragensia, 12(1), 179-199. https://doi.org/10.18267/j.aip.194
Richardson, S. (2022). Exposing the many biases in machine learning. Business Information Review, 39(3), 82-89. https://doi.org/10.1177/02663821221121024
Rogers, H. (2018). Curating art, science, and technology. Technology S Stories. https://doi.org/10.15763/jou.ts.2018.12.20.04
Rondon, A. (2022). Understanding blockchain: Why physicians should care. Journal of Orthopaedic Experience & Innovation, 3(2). https://doi.org/10.60118/001c.35657
Salah, K., Rehman, M., Nizamuddin, N., & Al-Fuqaha, A. (2019). Blockchain for AI: Review and open research challenges. IEEE Access, 7, 10127-10149. https://doi.org/10.1109/access.2018.2890507
Sánchez, J., Rodríguez, J., & Espitia, H. (2020). Review of artificial intelligence applied in decision-making processes in agricultural public policy. Processes, 8(11), Article 1374. https://doi.org/10.3390/pr8111374
Saxena, R., & Gayathri, E. (2023). Semantic analysis of blockchain intelligence with proposed agenda for future issues. International Journal of Systems Assurance Engineering and Management, 14(S1), 34-54. https://doi.org/10.1007/s13198-023-01862-y
Sayeed, S., Marco-Gisbert, H., & Caira, T. (2020). Smart contract: Attacks and protections. IEEE Access, 8, 24416-24427. https://doi.org/10.1109/access.2020.2970495
Shin, W., & Kim, Y. (2022). The improvement of art distribution structure using blockchain technology. Journal of Next-Generation Convergence Information Services Technology, 11(3), 253-262. https://doi.org/10.29056/jncist.2022.06.03
Shuoshuo, Y. (2023). AI painting in TikTok. CEAS, 1(1). https://doi.org/10.61603/ceas.v1i1.10
Sigalov, K., Ye, X., König, M., Hagedorn, P., Blum, F., Severin, B., … & Groß, D. (2021). Automated payment and contract management in the construction industry by integrating building information modeling and blockchain-based smart contracts. Applied Sciences, 11(16), 7653. https://doi.org/10.3390/app11167653
Silva, L. (2023). Ethics in AI: How software development companies in Brazil deal with the ethical implications of AI technologies. Proceedings of the ACM. https://doi.org/10.5753/eniac.2023.233866
Singh, N. (2023). Blockchain and AI in reducing inventory fraud and errors. International Journal for Research in Applied Science and Engineering Technology, 11(12), 1023-1028. https://doi.org/10.22214/ijraset.2023.57500
Sunoqrot, M., Saha, A., Hosseinzadeh, M., Elschot, M., & Huisman, H. (2022). Artificial intelligence for prostate MRI: Open datasets, available applications, and grand challenges. European Radiology Experimental, 6(1). https://doi.org/10.1186/s41747-022-00288-8
Tang, Y., Xiong, J., Becerril-Arreola, R., & Iyer, L. (2019). Ethics of blockchain. Information Technology and People, 33(2), 602-632. https://doi.org/10.1108/itp-10-2018-0491
Tian, M., & Chen, J. (2022). Smart contract in blockchain. Proceedings of the 8th International Conference on Cloud Computing, 868-875. https://doi.org/10.2991/978-94-6463-030-5_86
Tryggestad, E., Anand, A., Beltran, C., Brooks, J., Cimmiyotti, J., Grimaldi, N., … &
Foote, R. (2022). Scalable radiotherapy data curation infrastructure for deep-learning based autosegmentation of organs-at-risk: A case study in head and neck cancer. Frontiers in Oncology, 12. https://doi.org/10.3389/fonc.2022.936134
Vacchio, E., & Bifulco, F. (2022). Blockchain in cultural heritage: Insights from literature review. Sustainability, 14(4), Article 2324. https://doi.org/10.3390/su14042324
Valeonti, F., Bikakis, A., Terras, M., Speed, C., Hudson-Smith, A., & Chalkias, K. (2021). Crypto collectibles, museum funding, and OpenGLAM: Challenges, opportunities and the potential of non-fungible tokens (NFTs). Applied Sciences, 11(21), Article 9931. https://doi.org/10.3390/app11219931
Watson, A., & Leyshon, A. (2022). Negotiating platformisation: Musictech, intellectual property rights and third wave platform reintermediation in the music industry. Journal of Cultural Economy, 15(3), 326-343. https://doi.org/10.1080/17530350.2022.2028653
Wei, W. (2019). Research progress on virtual reality (VR) and augmented reality (AR) in tourism and hospitality. Journal of Hospitality and Tourism Technology, 10(4), 539-570. https://doi.org/10.1108/jhtt-04-2018-0030
Whitaker, A. (2019). Art and blockchain: A primer, history, and taxonomy of blockchain use cases in the arts. Artivate: A Journal of Entrepreneurship in the Arts, 8(2), 21-46. https://doi.org/10.1353/artv.2019.0008
Yadlapalli, A., Rahman, S., & Gopal, P. (2022). Blockchain technology implementation challenges in supply chains – Evidence from the case studies of multi-stakeholders. The International Journal of Logistics Management, 33(5), 278-305. https://doi.org/10.1108/ijlm-02-2021-0086
Yalcinkaya, E., & Maffei, A. (2020). Blockchain suitability assessment of manufacturing functions defined by the ISA95 standard. Industrial Engineering & Management Systems, 19(4), 825-846. https://doi.org/10.7232/iems.2020.19.4.825
Yoon, N., & Lee, H. (2021). AI recommendation service acceptance: Assessing the effects of perceived empathy and need for cognition. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1912-1928. https://doi.org/10.3390/jtaer16050107
Yusa, I., Yu, Y., & Sovhyra, T. (2022). Reflections on the use of artificial intelligence in works of art. JADAM, 2(2), 152-167. https://doi.org/10.58982/jadam.v2i2.334
Zeilinger, M. (2016). Digital art as ‘monetized graphics’: Enforcing intellectual property on the blockchain. Philosophy & Technology, 31(1), 15-41. https://doi.org/10.1007/s13347-016-0243-1
Zhang, S. (2023). A blockchain framework for preserving music intellectual property rights. International Journal of Communication Networks and Information Security (Ijcnis), 15(3), 26-41. https://doi.org/10.17762/ijcnis.v15i3.6213
Zhuang, C., Dai, Q., & Zhang, Y. (2022). BCPPT: A blockchain-based privacy-preserving and traceability identity management scheme for intellectual property. Peer-to-Peer Networking and Applications, 15(1), 724-738. https://doi.org/10.1007/s12083-021-01277-1
DOI: https://doi.org/10.24821/ijcas.v11i2.14388
Article Metrics
Abstract view : 0 timesPDF - 0 times
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 4.0 International License.