Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector

Authors

DOI:

https://doi.org/10.9771/cp.v14i3.36727

Keywords:

Artificial Intelligence, AI in the Public Department, AI in Public Management, Workforce.

Abstract

 

Knowing the academic and technological trends, from a bibliographic and patent survey, on the use of AI in the public sector and how this use can complement, requalify or replace the human workforce in governments, this study found that the use of AI is growing in the public sector and that in some types of work cognitive technologies can even replace servers. The greatest reflection of AI in the public sector will be the complementation and requalification of the workforce, since its use can result in the liberation of up to 50% of public servants' time, freeing them to develop skills in which machines have not surpassed the human. The results indicate that AI technologies will change the functioning of government and will affect structurally, planning, strategy and human resource management, which will seek to evolve from the current focus on human talent to consider its interaction with technology. 

Downloads

Download data is not yet available.

Author Biographies

Washington Fernando da Silva, Federal University of Mato Grosso

Master's student of the PROFNIT Program (UFMT), Bachelor of Business Administration (UFMT), Bachelor of Theology (FERPI), MBA in Marketing (FGV-RJ), MBA in Project Management (FAE), was co-founder, Director and Chairman of the Board of FACIL CONSULTORIA - Junior Company of UFMT. He was co-founder and Marketing Manager of Arca Multincubadora - UFMT's Business Incubator. During his tenure at FACIL alone, 1,322 consultancies were offered to companies. He also gave numerous lectures and training in Brazil, especially on entrepreneurship and innovation. He held the positions of Coordinator of Development and Technology Transfer at the State Department of Science and Technology, of Marketing Leader of the Inova MT Network. He worked as a professor of Administration at the University of Cuiabá -UNIC, at the Federal University of Mato Grosso - UFMT, at the Rainha da Paz Catholic Faculty - FCARP and at the Higher Institute of Research and Graduate Studies ? ISUPP He worked as an accredited consultant at SEBRAE-MT, at ANPROTEC, at the Office of Technological Innovation at UFMT and at FUNCIONA Consultoria. He is currently an entrepreneurial public servant in the Government of Mato Grosso, having worked in the Office of Strategic Projects linked to the Vice-Governor, in General Management and Advisory positions at the Secretariat of Science, Technology and Innovation - SECITEC and in leadership positions in Project Management. at MT Partnerships S/A. In these institutions, he conceived, coordinated, developed and collaborated with relevant innovation projects, such as the implementation of the MT Technological Park, the Entrepreneurial Cells Program, the Mato Grosso Criativo Program, the Ideation Trail: Pre-Acceleration of Creative Business, the Coworking Arena+, the Creation of the Distance Learning Center for public servants, the implementation of the MT PAR SOCIAL social project support office and other innovative Public-Private Partnership projects, for which it received the Public Servant Entrepreneur (SEPLAN/2016) and Inovar para Transform (SEGES/2016). His main experiences and technical and bibliographic productions are related to the themes of Business Administration, Entrepreneurship, Innovation, Development and Management of Projects and Innovation Environments.

Fernando Selleri Silva, Mato Grosso State University

He holds a PhD in Computer Science from the Informatics Center - CIn of the Federal University of Pernambuco - UFPE (2015), a Master's in Computer Science from the Pontifical Catholic University of Rio Grande do Sul - PUCRS (2009), a specialization in Free Software Production from Federal University of Lavras - UFLA (2006) and degree in Computer Science from the University of the State of Mato Grosso - UNEMAT (2004). Has experience in Software Engineering and Database, working mainly with Quality Assurance, Agile Methodologies and Database Design. And experience in the area of ​​Informatics in Education, working with Publications Edition and Digital Technologies in Teaching. Professor in the Computer Science Course and in the Graduate Program in Science and Mathematics Teaching - PPGECM, Faculty of Exact and Technological Sciences - FACET of UNEMAT, Campus of Barra do Bugres/MT. Professor at the Graduate Program in Intellectual Property and Technology Transfer for Innovation - PROFNIT, Focal Point Cuiabá (UFMT/UNEMAT/IFMT). Political-Pedagogical and Financial Director (DPPF) of UNEMAT, Campus of Barra do Bugres/MT, Management 2019/2023.

Olivan da Silva Rabêlo, Federal University of Mato Grosso

Graduated in BUSINESS ADMINISTRATION from the State University of Bahia (2004). He is currently ADJUNCT II Professor at the Federal University of Mato Grosso-FAeCC - Faculty of Administration and Accounting Sciences - Campus of Cuiabá-MT, Course: Business Administration and Permanent Professor and Collegiate Member of the Professional Master's Course PROFNIT - Focal Point UFMT - Cuiabá-MT - Intellectual Property and Technology Transfer for Innovation, working mainly on the following topics: Innovation and Eco-innovation, Strategic Planning and Finance, Industrial Production. Research Group Leader and Researcher: Research Group on Innovation, Technology and Eco-innovation (GPITEC). Master by the Graduate Program in Culture, Memory and Regional Development by UNEB, research line: Public Policies for Regional Development. He holds an MBA in Environmental Management (FACCEBA/2005) Specialization in Controllership and Corporate Finance (Federal University of Lavras-MG). PhD in Applied Economics from PIMES/UFPE. Professor of Financial and Budget Management, Project Preparation and Analysis, Sales Administration, Marketing Information Systems, Organizational Development, Small and Medium Enterprises Management, Business Budget and Supervised Internship, Research Methodology and Production Management, Materials and Logistics . Teaching experience in UNDERGRADUATE and POST-GRADUATE courses. Business Consultant focused on Analysis of Investment Projects (economic-financial) registered by Banco do Nordeste do Brasil - BNB; Consultant accredited by SEBRAE-BA. Advisor of scientific works at undergraduate and graduate levels. He is currently developing research in projects on the impacts of Innovation and Eco-innovation on Organizations. Director of the Office of Technological Innovation at UFMT (Ordinance No. 1340/2012, Published in DOU No. 249, on 12/27/12) from 2012 to 2014, reappointed to the position in 2016 to date. Coordinator of Specializations: Public Management (DE) by the National Program in Public Administration Training (PNAP) - Open University of Brazil - UFMT and Financial Management and Organizational Strategy - UFMT.

References

ADAMS, S. et al. Mapping the Landscape of Human-Level Artificial General Intelligence. AI Magazine, [s.l.], v. 33, n. 1, p. 25-42, 15 mar. 2012.

ANDROUTSOPOULOU, A. et al. Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, [s.l.], v. 36, n. 2, p. 358-367, abr. 2019.

ANSIP, A. Making the Most of Robotics and Artificial Intelligence in Europe. [2017]. Disponível em: https://ec.europa.eu/commission/commissioners/2014-2019/ansip/blog/making-most-robotics-and-artificial-intelligence-europe_en. Acesso em: 4 jun. 2019.

BASTRA, G.; QUEIROLO, A.; SANTHANAM, N. Artificial intelligence: the time to act is now. Institucional. [2018]. Disponível em: https://www.mckinsey.com/industries/advanced-electronics/our-insights/artificial-intelligence-the-time-to-act-is-now. Acesso em: 31 maio 2019.

BHATTACHARYYA, S. S.; NAIR, S. Explicating the future of work: perspectives from India. Journal of Management Development, [s.l.], v. 38, n. 3, p. 175-194, 8 abr. 2019.

BORRY, E. L.; GETHA-TAYLOR, H. Automation in the Public Sector: Efficiency at the Expense of Equity? Public Integrity, [s.l.], v. 21, n. 1, p. 6-21, 19 mar. 2018.

BROWN, J. et al. Workforce of the future: the competing forces shaping 2030. [S.l]: PwC, 20 jun. 2018.

BOYD, M.; WILSON, N. Rapid developments in Artificial Intelligence: how might the New Zealand government respond? Policy Quarterly, [s.l.], v. 13, n. 4, 1º nov. 2017.

CAVALCANTE, P.; CAMÕES, M. Public innovation in Brazil: an overview of its types, results and drivers. [2017]. Disponível em: http://www.ipea.gov.br. Acesso em: 2 abr. 2017.

CENTRE FOR PUBLIC IMPACT. Destination Unknown AI and government. [S.l.]: BCG Foundation, set. 2017. Disponível em: https://publicimpact.blob.core.windows.net/production/2017/09/Destination-Unknown-AI-and-government.pdf. Acesso em: 2 jul. 2019.

CHATFIELD, A. T.; REDDICK, C. G. A framework for Internet of Things-enabled smart government: A case of IoT cybersecurity policies and use cases in U.S. federal government. Government Information Quarterly, [s.l.], v. 36, n. 2, p. 1-10, 18 set. 2018.

CHINA Issues Guideline on Artificial Intelligence Development. [2017]. Disponível em: http://english.gov.cn/policies/latest_releases/2017/07/20/content_281475742458322.htm. Acesso em: 4 jun. 2019.

COLLIER, M. et al. Artificial Intelligence: Healthcare’s New Nervous System. [S.l.]: Accenture, 2017. Acesso em: 3 jul. 2019.

DELOITTE. Artificial Intelligence Innovation Report. [S.l.]: Deloitte, 2018. Disponível em: https://www2.deloitte.com/content/dam/Deloitte/de/Documents/Innovation/Artificial-Intelligence-Innovation-Report-2018-Deloitte.pdf. Acesso em: 4 jun. 2019.

DESOUZA, K. C. Delivering Artificial Intelligence in Government: Challenges and Opportunities. Washington, DC: IBM Center for the Business of Government, 2018. Disponível em: http://www.businessofgovernment.org/sites/default/files/Delivering%20Artificial%20Intelligence%20in%20Government.pdf. Acesso em: 1º jul. 2019.

FREY, C. B.; OSBORNE, M. A. The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, [s.l.], v. 114, 17 set. 2013.

FUTURE TODAY INSTITUTE. Tech Trends Report 2019: Emerging science and technology trends that will influence business, government, education, media and society in the coming year. [S.l.] Future Today Institute, 2019. Disponível em: https://futuretodayinstitute.com/2019-tech-trends/. Acesso em: 5 jun. 2019.

GOLDSMITH, S.; CRAWFORD, S. The Responsive City: Engaging Communities Through Data-Smart Governance. [S.l.] John Wiley & Sons, 2014.

HOLDREN, J. P.; SMITH, M. Preparing for the Future of Artificial Intelligence. National Science and Technology Council, 12 out. 2016. Disponível em: https://obamawhitehouse.archives.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf. Acesso em: 4 jun. 2019

KANKANHALLI, A.; CHARALABIDIS, Y.; MELLOULI, S. IoT and AI for Smart Government: a Research Agenda. Government Information Quarterly, [s.l.], v. 36, n. 2, p. 304-309, abr. 2019.

KOUZIOKAS, G. N. The application of artificial intelligence in public administration for forecasting high crime risk transportation areas in urban environment. Transportation Research Procedia, 3rd Conference on Sustainable Urban Mobility, 3rd CSUM 2016, 26 – 27 May 2016, Volos, Greece. v. 24, p. 467-473, 1º jan. 2017.

LEGG, S.; HUTTER, M. A Collection of Definitions of Intelligence. Frontiers in Artificial Intelligence and Applications, [s.l.], v. 157, p. 9, 25 jun. 2007.

MANYIKA, J. et al. A future that works: Automation, employment, and productivity. [S.l.] McKinsey Global Instituto, jan. 2017. Disponível em: https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works_Full-report.ashx. Acesso em: 5 jun. 2019.

MARCONI, M. de A.; LAKATOS, E. M. Fundamentos de Metodologia Científica. 5. ed. São Paulo: Atlas, 2003.

MARTINS, G. de A. Manual para Elaboração de Monografias e Dissertações. 2. ed. São Paulo: Atlas, 2000.

MCCARTHY, J. et al. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Magazine, [s.l.], v. 27, n. 4, p. 12-12, 15 dez. 2006.

MEHR, H. Artificial Intelligence for Citizen Services and Government. Harvard Ash Center Technology & Democracy Fellow, [s.l.], p. 19, 2017.

MIKHAIL, B.; ALEKSEI, M.; EKATERINA, S. On the Way to Legal Framework for AI in Public Sector. Proceedings of the 11th International Conference on Theory and Practice of Electronic, 2018.

NILSSON, N. J. The Quest for Artificial Intelligence: a History of Ideas and Achievements. Cambridge, UK: Cambridge University Press, 2010.

PATIL, A. P. et al. Applying Machine Learning Techniques for Sentiment Analysis in the Case Study of Indian Politics. (S. M. Thampi et al. ed.). In: ADVANCES IN SIGNAL PROCESSING AND INTELLIGENT RECOGNITION SYSTEMS. Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. Anais [...]. 2018.

QUESTEL. Orbit Intelligence. [2019]. Disponível em: https://www.questel.com/business-intelligence-software/orbit-intelligence/. Acesso em: 20 abr. 2021.

REIS, J.; SANTO, P. E.; MELÃO, N. Artificial Intelligence in Government Services: A Systematic Literature Review. (Á. Rocha et al. ed.). In: NEW KNOWLEDGE IN INFORMATION SYSTEMS AND TECHNOLOGIES. Anais [...]. Advances in Intelligent Systems and Computing. Springer International Publishing, 2019.

RICH, E.; KNIGHT, K.; NAIR, S. B. Artificial Intelligence. New Dehli; India: Third Edition ed.; McGraw-Hill Education, 2009.

ROSA, M.; FEYEREISL, J.; COLLECTIVE, T. G. A Framework for Searching for General Artificial Intelligence. Cornell University, [s.l.], 2 nov. 2016.

SMITH, A. Future of Workforce Automation: America’s Predictions. Pew Research Center, [s.l.], 10 mar. 2016.

STONE, P. et al. Artificial Intelligence and Life in 2030 – One hundred year study on artificial intelligence – Report of the 2015-2016 Study Panel: Artificial Intelligence and Life in 2030. Stanford, CA: Stanford University, 2016. Disponível em: http://ai100.stanford.edu/2016-report. Acesso em: 31 maio 2019.

SUN, T. Q.; MEDAGLIA, R. Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly, [s.l.], v. 36, n. 2, p. 368-383, abr. 2019.

THIERER, A.; O’SULLIVAN, A. C.; RUSSELL, R. Artificial Intelligence and Public Policy. Mercatus Research, [s.l.], p. 56, 2017.

WELLER, C. Bill Gates says robots that take your job should pay taxes. [2017]. Disponível em: https://www.businessinsider.com/bill-gates-robots-pay-taxes-2017-2. Acesso em: 26 jun. 2019.

WIRTZ, B. W.; WEYERER, J. C.; GEYER, C. Artificial Intelligence and the Public Sector –Applications and Challenges. International Journal of Public Administration, [s.l.], v. 42, n. 7, p. 1-13, 19 maio 2019.

Downloads

Published

2021-07-01

How to Cite

Silva, W. F. da, Silva, F. S., & Rabêlo, O. da S. (2021). Trends in the Use of Artificial Intelligence and its Influence on the Requalification of the Work Force in the Public Sector . Cadernos De Prospecção, 14(3), 824. https://doi.org/10.9771/cp.v14i3.36727

Issue

Vol. 14 No. 3 (2021)

Section

Prospecções Tecnológicas de Assuntos Específicos

License

Copyright (c) 2021 Cadernos de Prospecção

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

O autor declara que: - Todos os autores foram nomeados. - Está submetendo o manuscrito com o consentimento dos outros autores. - Caso o trabalho submetido tiver sido contratado por algum empregador, tem o consentimento do referido empregador. - Os autores estão cientes de que é condição de publicação que os manuscritos submetidos a esta revista não tenham sido publicados anteriormente e não sejam submetidos ou publicados simultaneamente em outro periódico sem prévia autorização do Conselho Editorial. - Os autores concordam que o seu artigo ou parte dele possa ser distribuído e/ou reproduzido por qualquer forma, incluindo traduções, desde que sejam citados de modo completo esta revista e os autores do manuscrito. - Revista Cadernos de Prospecção está licenciado com uma Licença Creative Commons Attribution 4.0. Esta licença permite que outros remixem, adaptem e criem a partir do seu trabalho para fins não comerciais, e embora os novos trabalhos tenham de lhe atribuir o devido crédito e não possam ser usados para fins comerciais, os usuários não têm de licenciar esses trabalhos derivados sob os mesmos termos. Licença Creative Commons
Este obra está licenciado com uma Licença Creative Commons Atribuição 4.0 Internacional.