object(Publication)#1042 (6) { ["_data"]=> array(23) { ["id"]=> int(7184) ["accessStatus"]=> int(0) ["lastModified"]=> string(19) "2024-04-10 13:14:05" ["primaryContactId"]=> int(8958) ["sectionId"]=> int(31) ["seq"]=> int(0) ["submissionId"]=> int(7060) ["status"]=> int(1) ["version"]=> int(1) ["categoryIds"]=> array(0) { } ["citationsRaw"]=> string(3908) "Bacsó, R. (2016). Virtuális valuta mint a modern kori pénzpiaci szabályozás kihívása [Virtual Currency as a Challenge of the Modern Financial Market Regulation]. Polgári Szemle, 12(1–3), 244–251. Online: https://shorturl.at/nuCF3 Cifrino, C. (2014). Virtual Property, Virtual Rights: Why Contract Law, Not Property Law, Must be the Governing Paradigm in the Law of Virtual Worlds. Boston College Law Review, 55(1), 235–264. Online: https://shorturl.at/amqY1 De Filippi, P. & Wright, A. (2019). Blockchain and the Law. The Rule of Code. Harvard University Press. European Central Bank (2015). Virtual Currency Schemes – A Further Analysis. Online: https://www.ecb.europa.eu/pub/pdf/other/virtualcurrencyschemesen.pdf Frye, B. L. (April 19, 2021). NFTs & the Death of Art. Online: http://dx.doi.org/10.2139/ssrn.3829399 Garbers-von Boehm, K., Haag, H. & Gruber, K. (2022). Intellectual Property Rights and Distributed Ledger Technology with a focus on art NFTs and tokenized physical artwork. Policy Department for Citizens’ Rights and Constitutional Affairs Directorate-General for Internal Policies. Online: https://shorturl.at/hjySU Juhász, Á. (2021). Intelligent Contracts – A New Generation of Contractual Agreements? European Integration Studies, 16(1), 41–53. Online: https://ojs.uni-miskolc.hu/index.php/eis/article/view/963 Juhász, Á. (2023). Hagyományos magánjogi megoldások – 21. századi kihívások [Conventional Private Law Solutions – 21st Century Challenges]. In Karlovitz, János Tibor (Ed.), What Will Our Future Be Like? (pp. 222–234). Sozial und Wirtschafts Forschungsgruppe. Kőhidi, Á. (2022). A virtuális valóság pszeudoreáliáinak polgári jogi vizsgálata [Civil Law Analysis of Virtual Reality Pseudorealia]. In Medias Res, 11(2), 55–66. Online: https://inmediasresfolyoirat.hu/imr/article/view/251 Kulakova, O. S. (2022). Digital Art in the Light of NFT: Market Role and Legal Uncertainty. Digital Law Review, 3(2), 36–50. Online: https://doi.org/10.38044/2686-9136-2022-3-2-36-50 Radin, J. M. (1982). Property and Personhood. Stanford Law Review, 34(5), 957–1015. Online: https://doi.org/10.2307/1228541 Rohr, J. & Wright, A. (2019). Blockchain-Based Token Sales, Initial Coin Offerings, and the Democratization of Public Capital Market. Hastings Law Journal, 70(2), 463–524. Online: https://shorturl.at/bcv12 Szilágyi, F. (2022a). Kié a digitális adat? Az allokatív adatjog létjogosultsága a magánjogi (dologi jogi) megközelítés margóján. I. rész [Who Owns the Digital Data? The Justification of Allocative Data Law in the Context of the Private Law (in Rem) Approach. Part I]. Polgári Jog, 7(9–10). Online: https://doi.org/10.55413/193.A2200501.POJ Szilágyi, F. (2022b). Kié a digitális adat? Az allokatív adatjog létjogosultsága a magánjogi (dologi jogi) megközelítés margóján. II. rész [Who Owns the Digital Data? The Justification of Allocative Data Law in the Context of the Private Law (in Rem) Approach. Part II]. Polgári Jog, 7(11–12). Online: https://doi.org/10.55413/193.A2200602.POJ Sztermen, O. L. (2022). A digitális műalkotások megjelenési kérdései I. terminológiai problémák [Appearance and Legal Terminology of Digital Artworks: Part One: Thoughts on Terminology]. Miskolci Jogtudó, 6(3), 70–83. Online: https://shorturl.at/beoyP Wang, G., Gunasekaran, A., Ngai, E. W. T & Papadopoulos, T. (2016). Big Data Analytics in Logistics and Supply Chain Management: Certain Investigations for Research and Applications. International Journal of Production Economics, 176(June), 98–110. Online: https://doi.org/10.1016/j.ijpe.2016.03.014 Woebbeking, M. K. (2019). The Impact of Smart Contracts on Traditional Concepts of Contracts Law. JIPITEC – Journal of Intellectual Property, Information Technology and E-Commerce Law, 10(1), 106–113. Online: https://shorturl.at/btGJM" ["issueId"]=> int(576) ["pub-id::doi"]=> string(20) "10.53116/pgaflr.7060" ["abstract"]=> array(1) { ["en_US"]=> string(1215) "

By writing this paper, the authors intended to answer questions raised by the transfer of digital artworks in the online space. At the beginning of the study, the basic expressions, including NFT digital artwork, will be explained. Then, it will be examined how these new forms of artwork can be treated by civil law. Although NFTs change hands daily, their legal nature, i.e. if they shall be deemed as things in the civil law sense, is unclear. If NFTs are treated as things, they can be a subject of ownership, and the provisions on the transfer of ownership rights shall be applied, which raises several further questions. According to another approach, NFTs embody the right to dispose, while there are other opinions as to which NFTs, following the model of bank account money, shall be deemed as claims facilitating the application of the provisions of the law of obligations. After reviewing the different approaches to the legal nature of NFTs, features of online auctions of NFT artworks will be introduced. Then, it will be examined if the platforms enabling online auctions fall under the scope of the recently adopted Digital Market Act and if so, which rules of the Act are applicable for them.

" } ["title"]=> array(1) { ["en_US"]=> string(56) "Transferring Digital Artworks on Online Market Platforms" } ["locale"]=> string(5) "en_US" ["authors"]=> array(2) { [0]=> object(Author)#1060 (6) { ["_data"]=> array(15) { ["id"]=> int(8966) ["email"]=> string(27) "agnes.juhasz@uni-miskolc.hu" ["includeInBrowse"]=> bool(true) ["publicationId"]=> int(7184) ["seq"]=> int(0) ["userGroupId"]=> int(286) ["country"]=> string(2) "HU" ["orcid"]=> string(37) "https://orcid.org/0000-0002-6029-6988" ["url"]=> string(0) "" ["affiliation"]=> array(1) { ["en_US"]=> string(21) "University of Miskolc" } ["biography"]=> array(1) { ["en_US"]=> string(108) "

Associate Professor, Department of Civil Law, Faculty of Law, University of Miskolc, Miskolc, Hungary

" } ["familyName"]=> array(1) { ["en_US"]=> string(7) "Juhász" } ["givenName"]=> array(1) { ["en_US"]=> string(6) "Ágnes" } ["preferredPublicName"]=> array(1) { ["en_US"]=> string(0) "" } ["submissionLocale"]=> string(5) "en_US" } ["_hasLoadableAdapters"]=> bool(false) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) } [1]=> object(Author)#1058 (6) { ["_data"]=> array(15) { ["id"]=> int(8958) ["email"]=> string(31) "orsolya.sztermen@uni-miskolc.hu" ["includeInBrowse"]=> bool(true) ["publicationId"]=> int(7184) ["seq"]=> int(0) ["userGroupId"]=> int(286) ["country"]=> string(2) "HU" ["orcid"]=> string(37) "https://orcid.org/0009-0000-0273-5842" ["url"]=> string(0) "" ["affiliation"]=> array(2) { ["en_US"]=> string(21) "University of Miskolc" ["hu_HU"]=> string(28) "a:1:{s:5:"en_US";s:3:"Dr.";}" } ["biography"]=> array(1) { ["en_US"]=> string(96) "

PhD Student, Ferenc Deák Doctoral School of Law, University of Miskolc, Miskolc, Hungary

" } ["familyName"]=> array(2) { ["en_US"]=> string(8) "Sztermen" ["hu_HU"]=> string(8) "Sztermen" } ["givenName"]=> array(2) { ["en_US"]=> string(12) "Lili Orsolya" ["hu_HU"]=> string(12) "Lili Orsolya" } ["preferredPublicName"]=> array(1) { ["en_US"]=> string(0) "" } ["submissionLocale"]=> string(5) "en_US" } ["_hasLoadableAdapters"]=> bool(false) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) } } ["keywords"]=> array(1) { ["en_US"]=> array(7) { [0]=> string(3) "NFT" [1]=> string(18) "non-fungible token" [2]=> string(15) "digital artwork" [3]=> string(14) "online auction" [4]=> string(22) "online market platform" [5]=> string(10) "gatekeeper" [6]=> string(3) "DMA" } } ["subjects"]=> array(0) { } ["disciplines"]=> array(0) { } ["languages"]=> array(0) { } ["supportingAgencies"]=> array(0) { } ["galleys"]=> array(1) { [0]=> object(ArticleGalley)#1043 (7) { ["_submissionFile"]=> NULL ["_data"]=> array(9) { ["submissionFileId"]=> int(32884) ["id"]=> int(5796) ["isApproved"]=> bool(false) ["locale"]=> string(5) "en_US" ["label"]=> string(3) "PDF" ["publicationId"]=> int(7184) ["seq"]=> int(0) ["urlPath"]=> string(0) "" ["urlRemote"]=> string(0) "" } ["_hasLoadableAdapters"]=> bool(true) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) } } } ["_hasLoadableAdapters"]=> bool(false) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) }

object(Publication)#1057 (6) { ["_data"]=> array(23) { ["id"]=> int(7232) ["accessStatus"]=> int(0) ["lastModified"]=> string(19) "2024-04-15 23:52:08" ["primaryContactId"]=> int(9034) ["sectionId"]=> int(31) ["seq"]=> int(0) ["submissionId"]=> int(7108) ["status"]=> int(1) ["version"]=> int(1) ["categoryIds"]=> array(0) { } ["citationsRaw"]=> string(3717) "Axon Enterprise, Inc. (2019). First Report of the Axon AI & Policing Technology Ethics Board. Online: https://shorturl.at/kyEHR Bensinger, K. & Chang, A. (2013, April 20). Boston Bombings: Social Media Spirals out of Control. Los Angeles Times. Online: https://shorturl.at/nstEU Berryhill, J., Heang, K. K., Clogher, R. & McBride, K. (2019). Hello, World: Artificial Intelligence and Its Use in the Public Sector. OECD Working Papers on Public Governance, (36). Online: https://doi.org/10.1787/726fd39d-en Campbell, D. (2001, October 17). US Buys Up All Satellite War Images. Manchester Guardian. CBS News (2013, April 24). Social Media and the Search for the Boston Bombing Suspects. CBS News. Online: https://shorturl.at/gJQTU Connors, B. & Zauderer, A. (2013, January 2). Police Use Facebook to ID Waterford Robbery Suspects. NBC Connecticut. Online: https://shorturl.at/hmW34 Davidson, R. (2019, August 8). Automated Threat Detection and the Future of Policing. FBI Law Enforcement Bulletin. Online: https://shorturl.at/erPZ2 Deeks, A. S. (2018). Predicting Enemies. Virginia Law Review, 104(8), 1529–1592. Online: https://shorturl.at/lxyDM Dutton, T. (2018, December 6). Building an AI World: Report on National and Regional Strategies. CIFAR. Online: https://shorturl.at/dlFJ3 Dyer, J. (2013, April 27). Social Media and the Boston Bombings. BBC Radio. Online: https://shorturl.at/gmoC0 Gianni, R., Lehtinen, S. & Nieminen, M. (2022). Governance of Responsible AI: From Ethical Guidelines to Cooperative Policies. Frontiers in Computer Science, 4. Online: https://doi.org/10.3389/fcomp.2022.873437 International Association of Chiefs of Police. (2011). Survey of Law Enforcement’s Use of Social Media Tools. Losavio, J. D. & Losavio, M. M. (2014). Prosecution and Social Media. In C. D. Marcum & G. E. Higgins (Eds.), Social Networking as a Criminal Enterprise (pp. 197–220). Taylor & Francis. Online: https://shorturl.at/tBF69 Losavio, M., Elmaghraby, A. & Losavio, A. (2018). Ubiquitous Networks, Ubiquitous Sensors: Issues of Security, Reliability and Privacy in the Internet of Things. In N. Boudriga, M. S. Alouini, S. Rekhis, E. Sabir & S. Pollin (Eds.), Ubiquitous Networking. UNet 2018. Lecture Notes in Computer Science (LNCS), 11277. Springer. Online: https://doi.org/10.1007/978-3-030-02849-7_30 Misuraca, G. & Van Noordt, C. (2020). AI Watch. Artificial Intelligence in Public Services. Publications Office of the European Union. Online: https://doi.org/10.2760/039619 Mitrou, L. (2018). Data Protection, Artificial Intelligence and Cognitive Services: Is the General Data Protection Regulation (GDPR) ‘Artificial Intelligence-Proof’? Online: https://dx.doi.org/10.2139/ssrn.3386914 Perry, W. L., McInnis, B., Price, C. C., Smith, S. & Hollywood, J. S. (2013). Predictive Policing. The Role of Crime Forecasting in Law Enforcement Operations. RAND Corporation. Online: https://doi.org/10.7249/RR233 Saravia, E. (2022). Prompt Engineering Guide. GitHub. Online: https://github.com/dair-ai/Prompt-Engineering-Guide Stuart, R. D. (2013, February 5). Social Media: Establishing Criteria for Law Enforcement Use. FBI Law Enforcement Bulletin. Online: https://shorturl.at/intzO Wallach, W. & Marchant, G. E. (2018). An Agile Ethical/Legal Model for the International and National Governance of AI and Robotics. Association for the Advancement of Artificial Intelligence. Online: https://shorturl.at/deHT7 Winfield, A. F. & Jirotka, M. (2018). Ethical Governance Is Essential in Building Trust in Robotics and Artificial Intelligence. Philosophical Transactions of the Royal Society A Mathematical, Physical and Engineering Sciences, 376(2133). Online: https://doi.org/10.1098/rsta.2018.0085" ["issueId"]=> int(576) ["pub-id::doi"]=> string(20) "10.53116/pgaflr.7108" ["abstract"]=> array(1) { ["en_US"]=> string(502) "

There is a tension between state oversight and state intrusion into our personal lives. The analytical powers of artificial intelligence/machine learning and the pervasive data collection of the Internet of Things, the Smart City and all those personal devices we use together permit revelations as to our lives as never seen before. We must consider the impact of this on the relations between citizen and government in this new, ubiquitous world of government cybersurveillance and revelation.

" } ["title"]=> array(1) { ["en_US"]=> string(51) "Government Cybersurveillance and AI: A New Equation" } ["locale"]=> string(5) "en_US" ["authors"]=> array(1) { [0]=> object(Author)#1073 (6) { ["_data"]=> array(15) { ["id"]=> int(9034) ["email"]=> string(30) "michael.losavio@louisville.edu" ["includeInBrowse"]=> bool(true) ["publicationId"]=> int(7232) ["seq"]=> int(0) ["userGroupId"]=> int(286) ["country"]=> string(2) "US" ["orcid"]=> string(37) "https://orcid.org/0000-0003-4542-8599" ["url"]=> string(0) "" ["affiliation"]=> array(2) { ["en_US"]=> string(24) "University of Louisville" ["hu_HU"]=> string(0) "" } ["biography"]=> array(2) { ["en_US"]=> string(162) "

Associate Professor, Department of Criminal Justice and Department of Computer Science and Engineering, University of Louisville, Louisville, Kentucky, USA

" ["hu_HU"]=> string(0) "" } ["familyName"]=> array(2) { ["en_US"]=> string(7) "Losavio" ["hu_HU"]=> string(7) "Losavio" } ["givenName"]=> array(2) { ["en_US"]=> string(7) "Michael" ["hu_HU"]=> string(7) "Michael" } ["preferredPublicName"]=> array(1) { ["en_US"]=> string(0) "" } ["submissionLocale"]=> string(5) "en_US" } ["_hasLoadableAdapters"]=> bool(false) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) } } ["keywords"]=> array(1) { ["en_US"]=> array(4) { [0]=> string(12) "surveillance" [1]=> string(17) "cybersurveillance" [2]=> string(23) "artificial intelligence" [3]=> string(10) "algorithms" } } ["subjects"]=> array(0) { } ["disciplines"]=> array(0) { } ["languages"]=> array(0) { } ["supportingAgencies"]=> array(0) { } ["galleys"]=> array(1) { [0]=> object(ArticleGalley)#1075 (7) { ["_submissionFile"]=> NULL ["_data"]=> array(9) { ["submissionFileId"]=> int(33257) ["id"]=> int(5839) ["isApproved"]=> bool(false) ["locale"]=> string(5) "en_US" ["label"]=> string(3) "PDF" ["publicationId"]=> int(7232) ["seq"]=> int(0) ["urlPath"]=> string(0) "" ["urlRemote"]=> string(0) "" } ["_hasLoadableAdapters"]=> bool(true) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) } } } ["_hasLoadableAdapters"]=> bool(false) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) }

object(Publication)#1052 (6) { ["_data"]=> array(24) { ["id"]=> int(7192) ["accessStatus"]=> int(0) ["lastModified"]=> string(19) "2024-04-29 10:25:14" ["primaryContactId"]=> int(8968) ["sectionId"]=> int(31) ["seq"]=> int(0) ["submissionId"]=> int(7068) ["status"]=> int(1) ["version"]=> int(1) ["categoryIds"]=> array(0) { } ["citationsRaw"]=> string(11129) "Abdulkareem, A. K. (2015). Challenges of E-Government Implementation in the Nigerian Public Service. Journal of Creative Writing, 1(4), 45–56. Abdulkareem, A. K., Abdulkareem, Z. J., Ishola, A. A. & Akindele, I. T. (2022a). Does E-Government Impact E-Participation? The Influence of Trust in E-Government. International Review of Public Administration, 27(2), 91–110. Online: https://doi.org/10.1080/12294659.2022.2071540 Abdulkareem, A. K., Abdulkareem, Z. J., Ishola, A. A., Bello, M. L. & Oladimeji, K. A. (2022b). The Influence of Openness of Public Organizations and Social Media Use on E-Participation: The Mediating Effect of Trust in E-Government. International Review of Public Administration, 27(4), 281–296. Online: https://doi.org/10.1080/12294659.2022.2136054 Abdulkareem, A. K. & Ishola, A. A. (2016). E-government in Nigeria: Progress and Prospects. Ilorin Journal of Administration and Development, 2(1), 59–67. Abdulkareem, A. K., Ishola, A. A. & Abdulkareem, Z. J. (2021). E-Government and Bureaucratic Corruption in Nigeria: Successes and Challenges. Jurnal Studi Pemerintahan, 12(1), 1–20. Online: https://doi.org/10.18196/jgp.121125 Abdulkareem, A. K. & Ramli, R. M. (2021). Does Digital Literacy Predict E-Government Performance an Extension of Delone and Mclean Information System Success Model. Electronic Government, an International Journal, 17(4), 466–493. Online: https://doi.org/10.1504/EG.2021.118103 Alexopoulos, C., Charalabidis, Y., Androutsopoulou, A., Loutsaris, M. A. & Lachana, Z. (2019, January 8–11). Benefits and Obstacles of Blockchain Applications in e-Government. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS-52), Wailea, Hawaii, US. Androutsopoulou, A., Karacapilidis, N., Loukis, E. & Charalabidis, Y. (2019). Transforming the Communication between Citizens and Government through AI-Guided Chatbots. Government Information Quarterly, 36(2), 358–367. Online: https://doi.org/10.1016/j.giq.2018.10.001 Androutsopoulou, A. S., Karacapilidis, N. I., Loukis, E. & Charalabidis, Y. K. (2021). Combining Technocrats’ Expertise with Public Opinion through an Innovative E-Participation Platform. LEEE Transactions on Emerging Topics in Computing, 9(1), 174–187. Online: https://doi.org/10.1109/TETC.2018.2824022 Balaji, M. & Yuvaraj, N. (2019). Intelligent Chatbot Model to Enhance the Emotion Detection in Social Media Using Bi-Directional Recurrent Neural Network. Journal of Physics: Conference Series, 1362. Online: https://doi.org/10.1088/1742-6596/1362/1/012039 Baldauf, M. & Zimmermann, H.-D. (2020, July 19–24). Towards Conversational E-Government: An Experts’ Perspective on Requirements and Opportunities of Voice-Based Citizen Services. HCI in Business, Government and Organizations: 7th International Conference, HCIBGO 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark. Cantador, I., Viejo-Tardío, J., Cortés-Cediel, M. E. & Rodríguez Bolívar, M. P. (2021). A Chatbot for Searching and Exploring Open Data: Implementation and Evaluation in E-Government. DG. O2021: The 22nd Annual International Conference on Digital Government Research (pp. 168–179). Online: https://doi.org/10.1145/3463677.3463681 Chatterjee, S. (2020). AI Strategy of India: Policy Framework, Adoption Challenges and Actions for Government. Transforming Government: People, Process and Policy, 14(5), 757–775. Online: https://doi.org/10.1108/TG-05-2019-0031 Chohan, S. R. & Akhter, Z. H. (2021). Electronic Government Services Value Creation from Artificial Intelligence: AI-Based E-Government Services for Pakistan. Electronic Government, 17(3), 374–390. Online: https://doi.org/10.1504/EG.2021.116003 Chui, M., Hazan, E., Roberts, R., Singla, A. & Smaje, K. (2023, June 14). The Economic Potential of Generative AI. McKinsey Digital. Online: https://shorturl.at/lAIMT De Bruijn, H., Warnier, M. & Janssen, M. (2022). The Perils and Pitfalls of Explainable AI: Strategies for Explaining Algorithmic Decision-Making. Government Information Quarterly, 39(2). Online: https://doi.org/10.1016/j.giq.2021.101666 Dev, S., Goyal, J., Tewari, D., Dave, S. & Prabhakaran, V. (2023). Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. Online: https://doi.org/10.48550/arXiv.2307.10514 Duberry, J. (2022). Artificial Intelligence and Democracy. Risks and Promises of AI-Mediated Citizen–Government Relations. Edward Elgar Publishing. Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., Carter, L. et al. (2023). Opinion Paper: “So What If ChatGPT Wrote It?” Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy. International Journal of Information Management, 71. Online: https://doi.org/10.1016/j.ijinfomgt.2023.102642 Guenduez, A. A. & Mettler, T. (2023). Strategically Constructed Narratives on Artificial Intelligence: What Stories Are Told in Governmental Artificial Intelligence Policies? Government Information Quarterly, 40(1). Online: https://doi.org/10.1016/j.giq.2022.101719 Guo, M., Zhang, X., Zhuang, Y., Chen, J., Wang, P. & Gao, Z. (2023). Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China after the Post-Pandemic Era. Online: https://doi.org/10.48550/arXiv.2309.02136 Joo, Y.-M. (2023). Developmentalist Smart Cities? The Cases of Singapore and Seoul. International Journal of Urban Sciences, 27(sup1), 164–182. Online: https://doi.org/10.1080/12265934.2021.1925143 Ju, J., Meng, Q., Sun, F., Liu, L. & Singh, S. (2023). Citizen Preferences and Government Chatbot Social Characteristics: Evidence from a Discrete Choice Experiment. Government Information Quarterly, 40(3). Online: https://doi.org/10.1016/j.giq.2022.101785 Leewis, S. & Smit, K. (2023, January 3–6). What Other Factors Might Impact Building Trust in Government Decisions Based on Decision Support Systems, Except for Transparency and Explainability? 56th Hawaii International Conference on System Sciences (HICSS-56 2023), Maui, Hawaii. Loukis, E., Saxena, S., Rizun, N., Maratsi, M. I., Ali, M. & Alexopoulos, C. (2023). ChatGPT Application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a Research Agenda. In I. Lindgren et al. (Eds.), Electronic Government (pp. 95–110). Springer, Cham. Online: https://doi.org/10.1007/978-3-031-41138-0_7 Mahapatra, R., Sharma, N., Trivedi, A. & Aman, C. (2012). Adding Interactive Interface to E-Government Systems Using AIML Based Chatterbots. 2012 CSI Sixth International Conference on Software Engineering (CONSEG). Online: https://doi.org/10.1109/CONSEG.2012.6349510 National eGovernment Strategies (2019). National eGovernment Strategies. Online: https://shorturl.at/uxAMS Ojeda, C. (2021). The Political Responses of Virtual Assistants. Social Science Computer Review, 39(5), 884–902. Online: https://doi.org/10.1177/0894439319886844 Omotoso, F. (2014). Public-service Ethics and Accountability for Effective Service Delivery in Nigeria. Africa Today, 60(3), 119–139. Online: https://doi.org/10.2979/africatoday.60.3.119 Oni, A. A. & Okunoye, A. O. (2019). Critical Success Factors in E-Democracy Implementation. In M. Khosrow-Pour (Ed.), Advanced Methodologies and Technologies in Government and Society (pp. 186–194). Information Science Reference. Online: https://doi.org/10.4018/978-1-5225-7661-7.ch016 Oyedele, S. O. (2015). The Nigerian Public Service and Service Delivery under Civil Rule. Journal of Public Administration, Finance and Law, 7, 33–43. Seböck, W., Biron, B. & Lampoltshammer, T. J. (2023). Barriers to the Introduction of Artificial Intelligence to Support Communication Experts in Media and the Public Sector to Combat Fake News and Misinformation. In N. Edelmann, L. Danneels, A. S. Novak, P. Panagiotopoulos & I. Susha (Eds.), Electronic Participation (pp. 67–81). Springer. Online: https://doi.org/10.1007/978-3-031-41617-0_5 Shang, G., Low, S. P. & Lim, X. Y. V. (2023). Prospects, Drivers of and Barriers to Artificial Intelligence Adoption in Project Management. Built Environment Project and Asset Management, 13(5), 629–645. Online: http://dx.doi.org/10.1108/BEPAM-12-2022-0195 Smith, S. & Jamieson, R. (2006). Determining Key Factors in E-Government Information System Security. Information Systems Management, 23(2), 23–32. Online: http://dx.doi.org/10.1201/1078.10580530/45925.23.2.20060301/92671.4 Strauss, S. (2023). Some Emerging Hypotheses about Using Generative AI in Public Sector Operations. Online: https://dx.doi.org/10.2139/ssrn.4544943 Symeonidis, S., Samaras, S., Stentoumis, C., Plaum, A., Pacelli, M., Grivolla, J., Shekhawat, Y., Ferri, M., Diplaris, S. & Vrochidis, S. (2023). An Extended Reality System for Situation Awareness in Flood Management and Media Production Planning. Electronics, 12(12). Online: https://doi.org/10.3390/electronics12122569 Tisland, I., Sodefjed, M. L., Vassilakopoulou, P. & Pappas, I. O. (2022). The Role of Quality, Trust, and Empowerment in Explaining Satisfaction and Use of Chatbots in E-Government. In S. Papagiannidis, E. Alamanos, S. Gupta, Y. K. Dwivedi, M. Mäntymäki & I. O. Pappas (Eds.), The Role of Digital Technologies in Shaping the Post-Pandemic World (pp. 279–291). Springer. Online: https://doi.org/10.1007/978-3-031-15342-6_22 Ukiwo, U. (2006). Creation of Local Government Areas and Ethnic Conflicts in Nigeria. The Case of Warri, Delta State. Unpublished manuscript. Valle-Cruz, D. & García-Contreras, R. (2023). Towards AI-driven Transformation and Smart Data Management: Emerging Technological Change in the Public Sector Value Chain. Public Policy and Administration. Online: https://doi.org/10.1177/09520767231188401 Vrabie, C. (2023). E-Government 3.0: An AI Model to Use for Enhanced Local Democracies. Sustainability, 15(12). Online: https://doi.org/10.3390/su15129572 Wirtz, B. W., Langer, P. F. & Fenner, C. (2021). Artificial Intelligence in the Public Sector – A Research Agenda. International Journal of Public Administration, 44(13), 1103–1128. Online: https://doi.org/10.1080/01900692.2021.1947319 Wirtz, B. W., Weyerer, J. C. & Kehl, I. (2022). Governance of Artificial Intelligence: A Risk and Guideline-based Integrative Framework. Government Information Quarterly, 39(4). Online: https://doi.org/10.1016/j.giq.2022.101685 Yang, L. & Wang, J. (2023). Factors Influencing Initial Public Acceptance of Integrating the ChatGPT-Type Model with Government Services. Kybernetes. Online: https://doi.org/10.1108/K-06-2023-1011 Yusuf, Y. A., Yusoff, K. Z. H. & Zengeni, K. T. (2018). The Implications of the Legislative Corrupt Practices on the Democratic Consolidation in the Nigeria’s Fourth Republic. Journal of Techno Social, 10(1), 15–22. Online: https://doi.org/10.30880/jts.2018.10.01.002" ["issueId"]=> int(576) ["pub-id::doi"]=> string(20) "10.53116/pgaflr.7068" ["abstract"]=> array(1) { ["en_US"]=> string(1410) "

This paper examines the potential for using generative artificial intelligence (AI) to boost civic participation in Nigeria’s developing e-government ecosystem. Emerging generative technologies like ChatGPT demonstrate intriguing capabilities to make governance more interactive and engaging through conversational interfaces. Thoughtfully implemented AI tools could increase access and understanding of e-government, particularly for underserved groups. However, risks around bias, privacy, security and capability limitations pose challenges for public sector applications. Additionally, Nigeria’s substantial digital divides and defective trust in government institutions hamper e-government participation currently. This paper analyses opportunities and limitations for applying generative AI to advance civic engagement given Nigeria’s unique socio-cultural context. Findings suggest that while AI holds promise, targeted strategies focused on inclusion, accessibility, education and institutional legitimacy building are critical to realise benefits. Cautious optimism, human-centric design and responsible governance frameworks are needed to employ generative systems successfully. If challenges are addressed, AI could open innovative possibilities for energising civic participation. But further research and controlled pilot applications are required to determine optimal implementation.

" } ["subtitle"]=> array(1) { ["en_US"]=> string(55) "Can Generative AI Serve as a Tool for Civic Engagement?" } ["title"]=> array(1) { ["en_US"]=> string(23) "E-Government in Nigeria" } ["locale"]=> string(5) "en_US" ["authors"]=> array(1) { [0]=> object(Author)#1078 (6) { ["_data"]=> array(15) { ["id"]=> int(8968) ["email"]=> string(30) "abdulkareem.ka@unilorin.edu.ng" ["includeInBrowse"]=> bool(true) ["publicationId"]=> int(7192) ["seq"]=> int(0) ["userGroupId"]=> int(286) ["country"]=> string(2) "NG" ["orcid"]=> string(37) "https://orcid.org/0000-0003-0180-8709" ["url"]=> string(0) "" ["affiliation"]=> array(2) { ["en_US"]=> string(21) "University of Ilorin " ["hu_HU"]=> string(104) "a:1:{s:5:"en_US";s:78:"Department of Public Administration, University of Ilorin, Ilorin, Nigeria. ";}" } ["biography"]=> array(1) { ["en_US"]=> string(104) "

Lecturer at the Department of Public Administration, University of Ilorin, Ilorin, Kwara, Nigeria

" } ["familyName"]=> array(2) { ["en_US"]=> string(11) "Abdulkareem" ["hu_HU"]=> string(11) "Abdulkareem" } ["givenName"]=> array(2) { ["en_US"]=> string(18) "Abdulrazaq Kayode " ["hu_HU"]=> string(10) "Abdulrazaq" } ["preferredPublicName"]=> array(1) { ["en_US"]=> string(0) "" } ["submissionLocale"]=> string(5) "en_US" } ["_hasLoadableAdapters"]=> bool(false) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) } } ["keywords"]=> array(1) { ["en_US"]=> array(5) { [0]=> string(13) "Generative AI" [1]=> string(7) "ChatGPT" [2]=> string(19) "Civil Participation" [3]=> string(16) "Digital Literacy" [4]=> string(12) "E-government" } } ["subjects"]=> array(0) { } ["disciplines"]=> array(0) { } ["languages"]=> array(0) { } ["supportingAgencies"]=> array(0) { } ["galleys"]=> array(1) { [0]=> object(ArticleGalley)#1068 (7) { ["_submissionFile"]=> NULL ["_data"]=> array(9) { ["submissionFileId"]=> int(33329) ["id"]=> int(5840) ["isApproved"]=> bool(false) ["locale"]=> string(5) "en_US" ["label"]=> string(3) "PDF" ["publicationId"]=> int(7192) ["seq"]=> int(0) ["urlPath"]=> string(0) "" ["urlRemote"]=> string(0) "" } ["_hasLoadableAdapters"]=> bool(true) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) } } } ["_hasLoadableAdapters"]=> bool(false) ["_metadataExtractionAdapters"]=> array(0) { } ["_extractionAdaptersLoaded"]=> bool(false) ["_metadataInjectionAdapters"]=> array(0) { } ["_injectionAdaptersLoaded"]=> bool(false) }