IMPACT OF IT GOVERNANCE INTEGRATION ON ARTIFICIAL INTELLIGENCE ADOPTION

Authors

  • José Diego Azabache Santos Universidad Nacional de Trujillo
  • Nelson Alejandro Ángeles Piedra Universidad Nacional de Trujillo
  • Alberto Carlos Mendoza de los Santos Universidad Nacional de Trujillo

DOI:

https://doi.org/10.23881/idupbo.023.2-9e

Keywords:

Information Technology Governance, IT Governance, Artificial Intelligence, AI, Machine Learning

Abstract

We are currently witnessing a totally changing environment and adoption of artificial intelligence technologies. In this context, it is necessary to know how IT governance is impacting the adoption of artificial intelligence, to know exactly if the regulatory frameworks are adapting to the changes, if specific frameworks already exist or what approaches exist for artificial intelligence, as well as such as the ethical aspects that are being taken into account and also what ethical challenges organizations or governments face when adopting artificial intelligence. Obtaining results that this integration facilitates strategic decision making by aligning IT operations with business objectives and current regulations. Regarding frameworks, they include COBIT, ISO 38500, CMMI, ITIL, TOGAF, PMBOK, PRINCE2 and SCRUM, with COBIT standing out as one of the most used in this regard. In ethical issues, it was found that transparency, accountability and citizen participation are considered essential for an ethical and equitable approach to AI and the main ethical challenges are algorithmic bias, the alignment of human values and control challenges. human. In addition, it is mentioned that the training and inclusion of employees is important regarding the different fears and prejudices that they usually have regarding adoption. Finally concluding that the adoption of AI is a multidimensional process that involves ethical, legal, technical and social issues. Responsible adoption of AI requires thorough consideration of all these facets to ensure its success in various applications.

Downloads

Download data is not yet available.

Author Biographies

José Diego Azabache Santos, Universidad Nacional de Trujillo

Facultad de Ingeniería

Nelson Alejandro Ángeles Piedra, Universidad Nacional de Trujillo

Facultad de Ingeniería

Alberto Carlos Mendoza de los Santos, Universidad Nacional de Trujillo

Facultad de Ingeniería

References

H. Chen, L. Li, and Y. Chen, “Explore success factors that impact artificial intelligence adoption on telecom industry in China,” https://doi.org/10.1080/23270012.2020.1852895, vol. 8, no. 1, pp. 36–68, 2020, doi: 10.1080/23270012.2020.1852895.

S. Chatterjee, B. Nguyen, S. K. Ghosh, K. K. Bhattacharjee, and S. Chaudhuri, “Adoption of artificial intelligence integrated CRM system: an empirical study of Indian organizations,” Bottom Line, vol. 33, no. 4, pp. 359–375, Nov. 2020, doi: 10.1108/BL-08-2020-0057/FULL/XML.

C. Symons, “Helping Business Thrive On Technology Change IT Governance Framework BEST PRACTICES,” 2005, Accessed: Sep. 03, 2023. [Online]. Available: www.forrester.com.

M. Chergui and A. Chakir, “IT Governance Knowledge: From Repositories to Artificial Intelligence Solutions,” Journal of Engineering Science and Technology Review, vol. 13, no. 5, pp. 67–76, 2020, doi: 10.25103/jestr.135.09.

S. K. Misra, S. K. Sharma, S. Gupta, and S. Das, “A framework to overcome challenges to the adoption of artificial intelligence in Indian Government Organizations,” Technol Forecast Soc Change, vol. 194, p. 122721, Sep. 2023, doi: 10.1016/J.TECHFORE.2023.122721.

A. Razzaque, “Artificial Intelligence and IT Governance: A Literature Review,” in Studies in Computational Intelligence, vol. 974, Springer Science and Business Media Deutschland GmbH, 2021, pp. 85–97. doi: 10.1007/978-3-030-73057-4_7.

T. Li, I. J. Saldanha, and K. A. Robinson, “Introduction to Systematic Reviews,” Principles and Practice of Clinical Trials, pp. 2159–2177, Jan. 2022, doi: 10.1007/978-3-319-52636-2_194/COVER.

M. B. Harari, H. R. Parola, C. J. Hartwell, and A. Riegelman, “Literature searches in systematic reviews and meta-analyses: A review, evaluation, and recommendations,” J Vocat Behav, vol. 118, p. 103377, Apr. 2020, doi: 10.1016/J.JVB.2020.103377.

C. Borges Migliavaca, C. Stein, V. Colpani, T. H. Barker, Z. Munn, and M. Falavigna, “How are systematic reviews of prevalence conducted? A methodological study,” BMC Med Res Methodol, vol. 20, no. 1, pp. 1–9, Apr. 2020, doi: 10.1186/S12874-020-00975-3/TABLES/2.

E. Mourão, J. F. Pimentel, L. Murta, M. Kalinowski, E. Mendes, and C. Wohlin, “On the performance of hybrid search strategies for systematic literature reviews in software engineering,” Inf Softw Technol, vol. 123, p. 106294, Jul. 2020, doi: 10.1016/J.INFSOF.2020.106294.

S. B. Wanyama, R. W. McQuaid, and M. Kittler, “Where you search determines what you find: the effects of bibliographic databases on systematic reviews,” https://doi.org/10.1080/13645579.2021.1892378, vol. 25, no. 3, pp. 409–422, 2021, doi: 10.1080/13645579.2021.1892378.

I. Hamzane and B. Abdessamad, “A built-in criteria analysis for best IT governance framework,” International Journal of Advanced Computer Science and Applications, vol. 10, no. 10, pp. 185–190, 2019, doi: 10.14569/ijacsa.2019.0101026.

I. Hamzane and A. Belangour, “A Multi-criteria Analysis and Advanced Comparative Study Between IT Governance References,” Advances in Intelligent Systems and Computing, vol. 1105 AISC, pp. 39–52, 2020, doi: 10.1007/978-3-030-36674-2_5.

L. MOUDOUBAH, A. EL YAMAMI, K. MANSOURI, and M. QBADOU, “Towards the implementation of an ontology based on COBIT framework (CobitOnyology),” in 2019 1st International Conference on Smart Systems and Data Science (ICSSD), IEEE, Oct. 2019, pp. 1–6. doi: 10.1109/ICSSD47982.2019.9003030.

H. S. Sætra, “A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government,” Technol Soc, vol. 62, p. 101283, Aug. 2020, doi: 10.1016/J.TECHSOC.2020.101283.

J. B. Quintero, D. M. Villanueva, and B. Manrique-Losada, “A framework to profile corporate projects,” Iberian Conference on Information Systems and Technologies, CISTI, vol. 2020-June, Jun. 2020, doi: 10.23919/CISTI49556.2020.9140925.

A. Chakir, M. Chergui, and J. F. Andry, “A Smart Updater IT Governance Platform Based on Artificial Intelligence,” Advances in Science, Technology and Engineering Systems, vol. 5, no. 5, pp. 47–53, 2020, doi: 10.25046/AJ050507.

M. Chergui and A. Chakir, “IT Governance Knowledge: From Repositories to Artificial Intelligence Solutions,” Journal of Engineering Science and Technology Review, vol. 13, no. 5, pp. 67–76, 2020, doi: 10.25103/JESTR.135.09.

M. Chergui and A. Chakir, “IT GRC smart adviser: Process driven architecture applying an integrated framework,” Advances in Science, Technology and Engineering Systems, vol. 5, no. 6, pp. 247–255, 2020, doi: 10.25046/AJ050629.

G. D. Sharma, A. Yadav, and R. Chopra, “Artificial intelligence and effective governance: A review, critique and research agenda,” Sustainable Futures, vol. 2, p. 100004, Jan. 2020, doi: 10.1016/J.SFTR.2019.100004.

H. Y. Liu and M. M. Maas, “‘Solving for X?’ Towards a problem-finding framework to ground long-term governance strategies for artificial intelligence,” Futures, vol. 126, p. 102672, Feb. 2021, doi: 10.1016/J.FUTURES.2020.102672.

F. Abdulrasool and S. Turnbull, “The Role of IT Governance in Enhancing the Performance of Smart Universities,” Advances in Intelligent Systems and Computing, vol. 1153 AISC, pp. 708–720, 2020, doi: 10.1007/978-3-030-44289-7_66.

Y. He, W. Li, X. Tian, and Y. Xing, “A Review on COVID-19 related research in leading information systems journals,” Issues in Information Systems, vol. 22, no. 4, pp. 93–109, 2021, doi: 10.48009/4_IIS_2021_99-116.

F. H. Chen, M. F. Hsu, and K. H. Hu, “Enterprise’s internal control for knowledge discovery in a big data environment by an integrated hybrid model,” Information Technology and Management, vol. 23, no. 3, pp. 213–231, Sep. 2022, doi: 10.1007/S10799-021-00342-8.

A. Elahi and T. Cook, “Artificial Intelligence Governance and Strategic Planning: How We Do It,” Journal of the American College of Radiology, Jul. 2023, doi: 10.1016/J.JACR.2023.06.017.

P. Solana-González, A. A. Vanti, M. M. García Lorenzo, and R. E. Bello Pérez, “Data mining to assess organizational transparency across technology processes: An approach from it governance and knowledge management,” Sustainability (Switzerland), vol. 13, no. 18, Sep. 2021, doi: 10.3390/SU131810130.

W. Wu, T. Huang, and K. Gong, “Ethical Principles and Governance Technology Development of AI in China,” Engineering, vol. 6, no. 3, pp. 302–309, Mar. 2020, doi: 10.1016/J.ENG.2019.12.015.

M. Wimmer, “Foreword: Advancements and challenges for Latin American AI and data governance,” Computer Law & Security Review, vol. 47, p. 105759, Nov. 2022, doi: 10.1016/J.CLSR.2022.105759.

E. Servou, F. Behrendt, and M. Horst, “Data, AI and governance in MaaS – Leading to sustainable mobility?,” Transp Res Interdiscip Perspect, vol. 19, p. 100806, May 2023, doi: 10.1016/J.TRIP.2023.100806.

E. Papagiannidis, I. M. Enholm, C. Dremel, P. Mikalef, and J. Krogstie, “Deploying AI Governance Practices: A Revelatory Case Study,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12896 LNCS, pp. 208–219, 2021, doi: 10.1007/978-3-030-85447-8_19.

A. Zuiderwijk, Y. C. Chen, and F. Salem, “Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda,” Gov Inf Q, vol. 38, no. 3, p. 101577, Jul. 2021, doi: 10.1016/J.GIQ.2021.101577.

N. van Dijk, S. Casiraghi, and S. Gutwirth, “The ‘Ethification’ of ICT Governance. Artificial Intelligence and Data Protection in the European Union,” Computer Law & Security Review, vol. 43, p. 105597, Nov. 2021, doi: 10.1016/J.CLSR.2021.105597.

J. Schneider, R. Abraham, C. Meske, and J. Vom Brocke, “Artificial Intelligence Governance For Businesses,” Information Systems Management, vol. 40, no. 3, pp. 229–249, 2022, doi: 10.1080/10580530.2022.2085825.

E. González-Esteban y Patrici Calvo, “Ethically governing artificial intelligence in the field of scientific research and innovation,” Heliyon, vol. 8, no. 2, p. e08946, Feb. 2022, doi: 10.1016/J.HELIYON.2022.E08946.

L. Ji and X. Huang, “Analysis of social governance in energy-oriented cities based on artificial intelligence,” Energy Reports, vol. 8, pp. 11151–11160, Nov. 2022, doi: 10.1016/J.EGYR.2022.08.206.

V. Charles, N. P. Rana, and L. Carter, “Artificial Intelligence for data-driven decision-making and governance in public affairs,” Gov Inf Q, vol. 39, no. 4, p. 101742, Oct. 2022, doi: 10.1016/J.GIQ.2022.101742.

B. W. Wirtz, J. C. Weyerer, and I. Kehl, “Governance of artificial intelligence: A risk and guideline-based integrative framework,” Gov Inf Q, vol. 39, no. 4, p. 101685, Oct. 2022, doi: 10.1016/J.GIQ.2022.101685.

P. Breda, R. Markova, A. F. Abdin, N. P. Mantı, A. Carlo, and D. Jha, “An extended review on cyber vulnerabilities of AI technologies in space applications: Technological challenges and international governance of AI,” Journal of Space Safety Engineering, Aug. 2023, doi: 10.1016/J.JSSE.2023.08.003.

C. Fontes, C. Corrigan, and C. Lütge, “Governing AI during a pandemic crisis: Initiatives at the EU level,” Technol Soc, vol. 72, p. 102204, Feb. 2023, doi: 10.1016/J.TECHSOC.2023.102204.

Y. Dai, A. Liu, and C. P. Lim, “Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education,” Procedia CIRP, vol. 119, pp. 84–90, Jan. 2023, doi: 10.1016/J.PROCIR.2023.05.002.

R. Madan and M. Ashok, “AI adoption and diffusion in public administration: A systematic literature review and future research agenda,” Gov Inf Q, vol. 40, no. 1, p. 101774, Jan. 2023, doi: 10.1016/J.GIQ.2022.101774.

Published

2024-01-31

How to Cite

Azabache Santos, J. D., Ángeles Piedra, N. A., & Mendoza de los Santos, A. C. (2024). IMPACT OF IT GOVERNANCE INTEGRATION ON ARTIFICIAL INTELLIGENCE ADOPTION. Revista Investigación &Amp; Desarrollo, 23(2). https://doi.org/10.23881/idupbo.023.2-9e

Issue

Section

Economía, Empresa y Sociedad