IDEAS home Printed from https://ideas.repec.org/p/gnt/wpaper/8.html
   My bibliography  Save this paper

The Impact of Artificial Intelligent Tools on Decision Making Behavioral and Neural Dynamics

Author

Listed:
  • Edmundo Molina-Perez

    (School of Government and Public Transformation, Tecnológico de Monterrey)

  • Pedro Cortes

    (Tecnológico de Monterrey)

  • Isaac Molina

    (Tecnológico de Monterrey)

  • Fernanda Sobrino

    (Tecnológico de Monterrey)

  • Mario Tellez

    (Tecnológico de Monterrey)

  • Yessica Orozco

    (Tecnológico de Monterrey)

  • Mitzi Castellón

    (Tecnológico de Monterrey)

  • Steven Popper

    (Tecnológico de Monterrey)

  • Luis Serra

    (Tecnológico de Monterrey)

Abstract

Decision-making is a multifaceted cognitive process influenced by task complexity, information availability, individual cognitive strategies, and environmental settings. Yet, the neural mechanisms guiding everyday choices remain incompletely understood. This gap intensifies when integrating real-time aids, such as artificial intelligence tools (AIT), as cognitive decisionsupport especially for complex and ambiguous problems. This study explores the neural mechanisms of decision-making and examines how AIT influences these processes. Combining behavioral assessments and neurophysiological measurements, we investigate the dynamic interplay between human cognition and AIT through behavioral execution and electroencephalogram (EEG) activity. Experimental data from 54 participants suggest that in low-complexity decision-making, AIT is largely ignored in favor of heuristics. In high-complexity contexts, AIT positively influences decision-making outcomes while also increasing capacity for engagement with a challenging task as registered by EEG cortical activity. This suggests a non-linear effect of AIT in decision-making strategies highlighting its role as a complement to —rather than a replacement of—human cognitive processes.

Suggested Citation

  • Edmundo Molina-Perez & Pedro Cortes & Isaac Molina & Fernanda Sobrino & Mario Tellez & Yessica Orozco & Mitzi Castellón & Steven Popper & Luis Serra, 2025. "The Impact of Artificial Intelligent Tools on Decision Making Behavioral and Neural Dynamics," Working Paper Series of the School of Government and Public Transformation 8, School of Government and Public Transformation, Tecnológico de Monterrey.
    • Handle: RePEc:gnt:wpaper:8
    as

    Download full text from publisher

    File URL: https://egobiernoytp.tec.mx/sites/default/files/2025-08/wp8_the_impact_artificial_intelligent_tools.pdf
    File Function: First version, 2025
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Desouza, Kevin C. & Dawson, Gregory S. & Chenok, Daniel, 2020. "Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector," Business Horizons, Elsevier, vol. 63(2), pages 205-213.
    2. Anthony Zador & Sean Escola & Blake Richards & Bence Ölveczky & Yoshua Bengio & Kwabena Boahen & Matthew Botvinick & Dmitri Chklovskii & Anne Churchland & Claudia Clopath & James DiCarlo & Surya Gangu, 2023. "Catalyzing next-generation Artificial Intelligence through NeuroAI," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    2. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    3. Peter Parycek & Verena Schmid & Anna-Sophie Novak, 2024. "Artificial Intelligence (AI) and Automation in Administrative Procedures: Potentials, Limitations, and Framework Conditions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8390-8415, June.
    4. Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
    5. Watson, Graeme J. & Desouza, Kevin C. & Ribiere, Vincent M. & Lindič, Jaka, 2021. "Will AI ever sit at the C-suite table? The future of senior leadership," Business Horizons, Elsevier, vol. 64(4), pages 465-474.
    6. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    7. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
    8. Bao, Haixu & Liu, Wenfei & Dai, Zheng, 2025. "Artificial intelligence vs. public administrators: Public trust, efficiency, and tolerance for errors," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    9. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    10. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
    11. Erika GRABOCKA & Ervisa NDOKA, 2025. "AI-driven innovation within the ICT sector," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 9(1), pages 77-97, January.
    12. Roberts, Deborah L. & Candi, Marina, 2024. "Artificial intelligence and innovation management: Charting the evolving landscape," Technovation, Elsevier, vol. 136(C).
    13. Khalid Alshehhi & Ali Cheaitou & Hamad Rashid, 2025. "Investigating risk elements and critical success factors for AI procurement projects in the public sector: a qualitative approach based on UAE public organisations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(2), pages 446-467, February.
    14. Thomas Cantens, 2023. "How will the State think with the assistance of ChatGPT? The case of customs as an example of generative artificial intelligence in public administrations," CERDI Working papers hal-04233370, HAL.
    15. Ramendra Verma & Shikha Kapoor, 2024. "Exploring barriers to acceptance of artificial intelligence in social welfare schemes of governments in India – a systematic literature review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(11), pages 5139-5156, November.
    16. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    17. Hülter, Svenja M. & Ertel, Christian & Heidemann, Ansgar, 2024. "Exploring the individual adoption of human resource analytics: Behavioural beliefs and the role of machine learning characteristics," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    18. Luca Dal Bene & Paolo Franchi & Antonella Garna & Giacomo Pieraccioli & Monica Piovi & Paolo Torrico, 2022. "La digitalizzazione dei servizi di supporto in sanità. L?esperienza di ESTAR," MECOSAN, FrancoAngeli Editore, vol. 2022(123), pages 195-209.
    19. Black, J. Stewart & van Esch, Patrick, 2020. "AI-enabled recruiting: What is it and how should a manager use it?," Business Horizons, Elsevier, vol. 63(2), pages 215-226.
    20. Noha Diab & Nicoleta Isac & Cosmin Dobrin, 2022. "Artificial Intelligence (AI) and Jobs: The Impact of Pandemic on Governmental Organizations in Istanbul - Turkey," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 23(1), pages 46-64, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gnt:wpaper:8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Fabian Fuentes-Rivas (email available below). General contact details of provider: https://edirc.repec.org/data/egtecmx.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.