UTILIZATION AND EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE CHATBOTS IN MUNICIPAL LEGISLATIVE PROCESSES IN PANGASINAN, PHILIPPINES
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Objective: This study aims to assess the level of utilization and perceived effectiveness of Artificial Intelligence (AI) chatbots in enhancing the legislative functions of Sangguniang Bayan (SB) Members in the 2nd Congressional District of Pangasinan, Philippines, and to examine their relationship with the legislators' profile variables. Method: Using a descriptive survey method, data were collected to evaluate familiarity, usage patterns, and challenges associated with AI chatbot integration among local legislators. Results: Findings reveal that while most SB Members are aware of free AI chatbot models and use them for work-related functions such as research, engagement, and continuing education, overall utilization remains minimal. The tools are viewed as only moderately effective in supporting legislative processes. Key challenges include concerns over privacy and security, insufficient knowledge and skills, and legal and ethical considerations. Novelty: This study provides empirical insights into the cautious adoption of AI chatbots in local legislative contexts and underscores the critical need for comprehensive training programs to facilitate informed decision-making and promote innovative governance at the grassroots level.
F. Ohemeng, “New public governance: the changing landscape of canadian public administration,” in Canadian Public Administration in the 21st Century, CRC Press, 2013, pp. 21–40. doi: 10.1201/b15343-3.
J. Yardley, “Team dynamics: the role it plays in shaping service delivery,” Nursing and Residential Care, vol. 16, no. 5, pp. 284–286, May 2014, doi: 10.12968/nrec.2014.16.5.284.
O. Neumann, K. Guirguis, and R. Steiner, “Exploring artificial intelligence adoption in public organizations: a comparative case study,” Public Management Review, vol. 26, no. 1, pp. 114–141, Mar. 2022, doi: 10.1080/14719037.2022.2048685.
P. Arceneaux, “Value creation through organizational storytelling: Strategic narratives in foreign government public relations,” Public Relat Rev, vol. 50, no. 2, p. 102433, Jun. 2024, doi: 10.1016/j.pubrev.2024.102433.
C. van Noordt and L. Tangi, “The dynamics of AI capability and its influence on public value creation of AI within public administration,” Gov Inf Q, vol. 40, no. 4, p. 101860, Oct. 2023, doi: 10.1016/j.giq.2023.101860.
A. Gupta, “Introduction to AI chatbots,” International Journal of Engineering Research and, vol. V9, no. 07, Jul. 2020, doi: 10.17577/ijertv9is070143.
S. Raj, “Natural language processing for chatbots,” in Building Chatbots with Python, Apress, 2018, pp. 29–61. doi: 10.1007/978-1-4842-4096-0_2.
V. R. M. L. Maike, S. B. Buchdid, and M. C. C. Baranauskas, “Designing natural user interfaces scenarios for all and for some: an analysis informed by organizational semiotics artifacts,” in Information and Knowledge Management in Complex Systems, Springer International Publishing, 2015, pp. 92–101. doi: 10.1007/978-3-319-16274-4_10.
J. Iunes Monteiro, “The need for responsible use of AI by public administration: Algorithmic Impact Assessments (AIAs) as instruments for accountability and social control,” in Public Governance and Emerging Technologies, Springer Nature Switzerland, 2025, pp. 179–216. doi: 10.1007/978-3-031-84748-6_9.
L. M. Pago, “Artificial intelligence empowerment in leadership: a systematic review of positive impacts and applications,” INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS, vol. 07, no. 08, Sep. 2024, doi: 10.47191/ijmra/v7-i08-57.
S. S. Lifanov and V. V Skorobogatsky, “On coordination between legislative and executive branches of government in the Russian federation,” Management Issues, vol. 1, no. 5, pp. 6–19, 2019, doi: 10.22394/2304-3369-2019-5-6-19.
E. Mercier-Laurent, “Climate change – can AI help understanding and more effective facing of various interrelated impacts?,” in Decision Making Using AI in Energy and Sustainability, Springer International Publishing, 2023, pp. 3–19. doi: 10.1007/978-3-031-38387-8_1.
V. Costa, P. Coelho, and M. Castelli, “Artificial intelligence for impact assessment of administrative burdens,” Emerging Science Journal, vol. 8, no. 1, pp. 270–282, Feb. 2024, doi: 10.28991/esj-2024-08-01-019.
I. U. Aubakirova and B. S. Moldabekov, “The introduction of artificial intelligence technology in lawmaking: modern challenges, risks and prospects,” Bulletin of the Institute of Legislation and Legal Information of the Republic of Kazakhstan, pp. 78–86, Mar. 2024, doi: 10.52026/2788-5291_2024_76_1_78.
G. Liva, C. Codagnone, G. Misuraca, V. Gineikyte, and E. Barcevicius, “Exploring digital government transformation: a literature review,” in Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance, in ICEGOV 2020. ACM, Sep. 2020, pp. 502–509. doi: 10.1145/3428502.3428578.
J. von Lucke, F. Fitsilis, and J. Etscheid, “Einsatz von KI in der Gesetzgebung,” Jusletter-IT, no. 23-Februar-2023, 2023, doi: 10.38023/6240059b-1ce2-4cb1-8cce-c5c05ff21523.
S. Jain, “Social networking sites - an emerging threat to online privacy?,” SSRN Electronic Journal, 2014, doi: 10.2139/ssrn.2463136.
M. Janssen, “Responsible governance of generative AI: conceptualizing GenAI as complex adaptive systems,” Policy Soc, vol. 44, no. 1, pp. 38–51, Jan. 2025, doi: 10.1093/polsoc/puae040.
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