Algorithmic Mediation of Consciousness: Extending Integrated Reality Theory for AI Governance and Organizational Learning
JEL Classification: M15; O33; D83; D91; L86.
Abstract
The rapid advancement of Artificial Intelligence (AI), particularly Large Language Models (LLMs) and algorithmic recommendation systems, has fundamentally transformed how human beings produce, distribute, and consume information. Yet contemporary debates surrounding AI remain trapped between two dominant narratives: technological optimism, which views AI as a productivity accelerator, and technological pessimism, which perceives AI as a threat to human autonomy and intellectual labor. This article proposes an alternative analytical framework through Integrated Reality Theory (IRT). Unlike purely technological approaches, this paper argues that AI is no longer merely a computational instrument, but increasingly functions as a structural mediator shaping human consciousness through the reconstruction of global information architecture. Within IRT, Information (I) is not a neutral variable; it directly influences Consciousness (C). Since AI systems increasingly govern digital information flows, they indirectly participate in the formation of collective consciousness. This article introduces the concept of Algorithmic Mediation of Consciousness to explain how AI systems influence attention structures, cognitive framing, social perception, and civilizational evolution. The article further develops IRT from a static systems model into a co-evolutionary framework in which AI acts simultaneously as an amplifier and a potential distorter of human consciousness. The study concludes that the future trajectory of civilization will be determined not merely by control over energy and material resources, but increasingly by governance over algorithmic information architectures capable of shaping collective consciousness itself. The article also extends the discussion to organizational learning and managerial governance, highlighting how AI-mediated information architectures influence collective sense-making within organizations.
References
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922
Biswas, T. R., Hossain, M. Z., & Comite, U. (2024). Role of management information systems in enhancing decision-making in large-scale organizations. Pacific Journal of Business Innovation and Strategy, 1(1), 5-18. https://doi.org/10.70818/pjbis.2024.v01i01.03
Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., Brynjolfsson, E., Buch, S., Card, D., Castellon, R., Chatterji, N. S., Chen, A., Creel, K., Davis, J. Q., Demszky, D., … Liang, P. (2021). On the opportunities and risks of foundation models. arXiv. https://arxiv.org/abs/2108.07258
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Carr, N. (2010). The shallows: What the Internet is doing to our brains. W. W. Norton & Company.
Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
Cristofaro, M., & Bañón-Gomis, A. J. (2026). Dancing with the algorithm: a framework to navigate knowledge and autonomy in AI-assisted managerial decisions. Journal of Knowledge Management, 30(11), 1-31. https://doi.org/10.1108/JKM-06-2025-0870
Dignum, V. (2019). Responsible artificial intelligence: How to develop and use AI in a responsible way. Springer. https://doi.org/10.1007/978-3-030-30371-6
Edwards, A. P., & Etzrodt, K. (2025). Being and becoming in human-machine communication: Core commitments and conceptual foundations of a trans-ontological field. Human-Machine Communication, 10(1), 1. https://doi.org/10.30658/hmc.10.1
European Union. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union.
Farivar, F., Klarin, A., & Kanani-moghadam, V. (2026). Industry 5.0: A socio-technical system perspective on human agency and institutional legitimacy. Journal of Management & Organization, 32(4), 1168-1189. https://doi.org/10.1017/jmo.2026.10095
Floridi, L. (2014). The fourth revolution: How the infosphere is reshaping human reality. Oxford University Press.
Hamdat, A., Ceskakusumadewi, B., Samalam, A. G., Rizal, M., & Lawalata, I. L. (2024). The impact of management information systems on decision-making efficiency. Vifada Management and Digital Business, 1(2), 56-74. https://doi.org/10.70184/qpw1rq78
Haroon, M., Chhabra, A., Liu, X., Mohapatra, P., Shafiq, Z., & Wojcieszak, M. (2022). YouTube, the great radicalizer? Auditing and mitigating ideological biases in YouTube recommendations. arXiv. https://arxiv.org/abs/2203.10666
Hera, A., Al Rian, A., Faruque, M. O., Sizan, M. M. H., Khan, N. A., Rahaman, M. A., & Ali, M. J. (2024). Leveraging information systems for strategic management: Enhancing decision-making and organizational performance. American Journal of Industrial and Business Management, 14(8), 1045-1061. https://doi.org/10.4236/ajibm.2024.148054
Khan, I., Gul, M., & Shah, S. M. (2026). The Impact of Artificial Intelligence Adoption on Managerial Decision-Making Effectiveness. Journal of Management Science Research Review, 5(1), 1196-1218.
Kim, D. H. (2024). Managerial practice fields: Infrastructures of a learning organization. In Learning Organizations (pp. 351-364). Productivity Press.
Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24), 8788–8790. https://doi.org/10.1073/pnas.1320040111
Lakatos, I. (1970). Falsification and the methodology of scientific research programmes. In I. Lakatos & A. Musgrave (Eds.), Criticism and the growth of knowledge (pp. 91–196). Cambridge University Press.
McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176–187. https://doi.org/10.1086/267990
McLuhan, M. (1964). Understanding media: The extensions of man. McGraw-Hill.
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.
OECD. (2024). OECD AI principles. OECD Publishing. https://oecd.ai/en/ai-principles
O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing.
Pariser, E. (2011). The filter bubble: What the Internet is hiding from you. Penguin Press.
Postman, N. (1985). Amusing ourselves to death: Public discourse in the age of show business. Viking.
Russell, S. J. (2019). Human compatible: Artificial intelligence and the problem of control. Viking Press.
Senge, P. M. (1990). The fifth discipline: The art and practice of the learning organization. Doubleday.
Shoim, M. (2026). Integrated Reality Theory (IRT): A processual-relational framework [Conceptual monograph]. ADCENT Press.
Sunstein, C. R. (2017). #Republic: Divided democracy in the age of social media. Princeton University Press.
Susskind, D. (2020). A world without work: Technology, automation, and how we should respond. Metropolitan Books.
Tufekci, Z. (2018, March 10). YouTube, the great radicalizer. The New York Times.
Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books.
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO Publishing.
Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P. S., Cheng, M., Glaese, A., McNamara, D., & Gabriel, I. (2022). Taxonomy of risks posed by language models. Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 214–229. https://doi.org/10.1145/3531146.3533088
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
Copyright (c) 2026 Journal La Bisecoman
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
