КЛАСИФІКАЦІЯ РІВНІВ АВТОНОМНОСТІ АГЕНТНОГО ШІ В УПРАВЛІННІ ІТ-ПРОЄКТАМИ
Анотація
Стаття присвячена розробці класифікації рівнів автономності агентів штучного інтелекту (далі – ШІ) в управлінні ІТ-проєктами. На основі порівняльного аналізу п’яти концептуальних моделей автономності із суміжних галузей (загальна автоматизація, автономне водіння, людино-комп’ютерна взаємодія, штучний загальний інтелект, програмна інженерія) виявлено прогалину: жодна з моделей не адаптована до управління проєктами. Запропоновано п’ятирівневу шкалу (A0 – A4), кожен рівень якої обґрунтовано за чотирма критеріями (тип завдань, механізм контролю, розподіл відповідальності, вимоги до компетенцій менеджера) та поєднано з конкретним механізмом управління. Обґрунтовано свідоме виключення повної автономності з етичних, технологічних та регуляторних міркувань. Запропоновано інтерпретацію нелінійності вимог до управління при переходах між рівнями.
Посилання
World Economic Forum. Future of Jobs Report 2025. Geneva : World Economic Forum, 2025. URL: https://www.weforum.org/publications/the-future-of-jobs-report-2025 (дата звернення: 08.04.2026).
Maslej N., Fattorini L., Perrault R., Gil Y., Parli V., Kariuki N., Capstick E., Reuel A., Brynjolfsson E., Etchemendy J., Ligett K., Lyons T., Manyika J., Niebles J. C., Shoham Y., Wald R., Walsh T., Hamrah A., Santarlasci L., Lotufo J. B., Rome A., Kassarjian A., Perouli A. Artificial Intelligence Index Report 2025. Stanford Institute for Human-Centered AI, 2025. URL: https://hai.stanford.edu/ai-index/2025-ai-index-report (дата звернення: 08.04.2026).
Project Management Institute. Shaping the Future of Project Man-agement With AI. PMI, 2023. 24 с. URL: https://www.pmi.org/learning/thought-leadership/shaping-the-future-of-project-management-with-ai (дата звернення: 08.04.2026).
Project Management Institute. Pulse of the Profession 2025: Boosting Business Acumen. PMI, 2025. URL: https://www.pmi.org/learning/thought-leadership/boosting-business-acumen (дата звернення: 08.04.2026).
Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027 : press release / Gartner. Sydney, 25.06.2025. URL: https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027 (дата звернення: 08.04.2026).
Deloitte AI Institute. State of AI in the Enterprise: The Untapped Edge. 8th ed. Deloitte, January 2026. URL: https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-ai-in-the-enterprise.html (дата звернення: 08.04.2026).
Parasuraman R., Sheridan T. B., Wickens C. D. A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans. 2000. Vol. 30, No. 3. P. 286–297. DOI: https://doi.org/10.1109/3468.844354
Shneiderman B. Human-centered artificial intelligence: Three fresh ideas. AIS Transactions on Human-Computer Interaction. 2020. Vol. 12, No. 3. P. 109–124. DOI: https://doi.org/10.17705/1thci.00131
Morris M. R., Sohl-Dickstein J., Fiedel N., Warkentin T., Dafoe A., Faust A., Farabet C., Legg S. Position: Levels of AGI for operationaliz-ing progress on the path to AGI. Proceedings of the 41st International Con-ference on Machine Learning (ICML 2024). PMLR 235. 2024. P. 36308–36321. DOI: https://doi.org/10.48550/arXiv.2311.02462
Assalaarachchi L. I., Masood Z., Hoda R., Grundy J. To-ward agentic software project management: A vision and roadmap. arXiv preprint 2601.16392. 2026. DOI: https://doi.org/10.48550/arXiv.2601.16392. Accepted for AGENT 2026 workshop at ICSE 2026.
Cinkusz K., Chudziak J. A., Niewiadomska-Szynkiewicz E. Cognitive agents powered by large language models for agile software pro-ject management. Electronics. 2025. Vol. 14, No. 1. P. 87. DOI: https://doi.org/10.3390/electronics14010087
Takerngsaksiri W., Pasuksmit J., Thongtanunam P., Tan-tithamthavorn C., Zhang R., Jiang F., Li J., Cook E., Chen K., Wu M. Hu-man-in-the-loop software development agents. Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP 2025). ACM/IEEE, 2025. P. 342–352. DOI: https://doi.org/10.1109/ICSE-SEIP66354.2025.00036
Hoda R., Dam H. K., Tantithamthavorn C., Thongtanunam P., Storey M.-A. Augmented agile: Human-centered AI-assisted software management. IEEE Software. 2023. Vol. 40, No. 4. P. 106–109. DOI: https://doi.org/10.1109/MS.2023.3268725
Bushuyev S., Ivko A. Study of the principle of augmented competency in the audit of IT projects in the environment of artificial intel-ligence. Technology Audit and Production Reserves. 2024. Vol. 4, No. 2(78). P. 49–53. DOI: https://doi.org/10.15587/2706-5448.2024.310525
SAE International. Taxonomy and Definitions for Terms Re-lated to Driving Automation Systems for On-Road Motor Vehicles: SAE J3016_202104. SAE International, 2021. URL: https://wiki.unece.org/download/attachments/128418539/SAE%20J3016_202104.pdf (дата звернення: 08.04.2026).
Herrmann T., Pfeiffer S. Keeping the organization in the loop: A socio-technical extension of human-centered artificial intelligence. AI & Society. 2023. Vol. 38. P. 1523–1542. DOI: https://doi.org/10.1007/s00146-022-01391-5
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) : Регламент ЄС № 2024/1689 від 13.06.2024. Official Journal of the European Union. 2024. URL: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai (дата звернення: 08.04.2026).
National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework (AI RMF 1.0) : NIST AI 100-1. Gaithersburg (MD), 2023. 48 p. DOI: https://doi.org/10.6028/NIST.AI.100-1. URL: https://www.nist.gov/itl/ai-risk-management-framework (дата звернення: 08.04.2026).
World Economic Forum. (2025). Future of Jobs Report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025
Maslej, N., Fattorini, L., Perrault, R., Gil, Y., Parli, V., Kariuki, N., Capstick, E., Reuel, A., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Niebles, J. C., Shoham, Y., Wald, R., Walsh, T., Hamrah, A., Santarlasci, L., Lotufo, J. B., Rome, A., Kassarjian, A., & Perouli, A. (2025). Artificial Intelligence Index Report 2025. Stanford Insti-tute for Human-Centered AI. https://hai.stanford.edu/ai-index/2025-ai-index-report
Project Management Institute. (2023). Shaping the future of pro-ject management with AI. https://www.pmi.org/learning/thought-leadership/shaping-the-future-of-project-management-with-ai
Project Management Institute. (2025). Pulse of the profession 2025: Boosting business acumen. https://www.pmi.org/learning/thought-leadership/boosting-business-acumen
Gartner. (2025, June 25). Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027 [Press release]. https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027
Deloitte AI Institute. (2026). State of AI in the enterprise: The un-tapped edge (8th ed.). Deloitte. https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-ai-in-the-enterprise.html
Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 30(3), 286–297. https://doi.org/10.1109/3468.844354
Shneiderman, B. (2020). Human-centered artificial intelligence: Three fresh ideas. AIS Transactions on Human-Computer Interaction, 12(3), 109–124. https://doi.org/10.17705/1thci.00131
Morris, M. R., Sohl-Dickstein, J., Fiedel, N., Warkentin, T., Dafoe, A., Faust, A., Farabet, C., & Legg, S. (2024). Position: Levels of AGI for operationalizing progress on the path to AGI. In Proceedings of the 41st In-ternational Conference on Machine Learning (ICML 2024) (PMLR 235, pp. 36308–36321). https://doi.org/10.48550/arXiv.2311.02462
Assalaarachchi, L. I., Masood, Z., Hoda, R., & Grundy, J. (2026). Toward agentic software project management: A vision and roadmap (arXiv preprint No. 2601.16392). arXiv. https://doi.org/10.48550/arXiv.2601.16392 (Accepted for AGENT 2026 workshop at ICSE 2026)
Cinkusz, K., Chudziak, J. A., & Niewiadomska-Szynkiewicz, E. (2025). Cognitive agents powered by large language models for agile software project management. Electronics, 14(1), 87. https://doi.org/10.3390/electronics14010087
Takerngsaksiri, W., Pasuksmit, J., Thongtanunam, P., Tan-tithamthavorn, C., Zhang, R., Jiang, F., Li, J., Cook, E., Chen, K., & Wu, M. (2025). Human-in-the-loop software development agents. In Proceed-ings of the 47th IEEE/ACM International Conference on Software Engi-neering: Software Engineering in Practice (ICSE-SEIP 2025) (pp. 342–352). ACM/IEEE. https://doi.org/10.1109/ICSE-SEIP66354.2025.00036
Hoda, R., Dam, H. K., Tantithamthavorn, C., Thong-tanunam, P., & Storey, M.-A. (2023). Augmented agile: Human-centered AI-assisted software management. IEEE Software, 40(4), 106–109. https://doi.org/10.1109/MS.2023.3268725
Bushuyev, S., & Ivko, A. (2024). Study of the principle of augmented competency in the audit of IT projects in the environment of ar-tificial intelligence. Technology Audit and Production Reserves, 4(2(78)), 49–53. https://doi.org/10.15587/2706-5448.2024.310525
SAE International. (2021). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles (SAE J3016_202104). https://wiki.unece.org/download/attachments/128418539/SAE%20J3016_202104.pdf
Herrmann, T., & Pfeiffer, S. (2023). Keeping the organiza-tion in the loop: A socio-technical extension of human-centered artificial in-telligence. AI & Society, 38, 1523–1542. https://doi.org/10.1007/s00146-022-01391-5
European Parliament and Council. (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 Intelli-gence Act). Official Journal of the European Union. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
National Institute of Standards and Technology. (2023). Ar-tificial intelligence risk management framework (AI RMF 1.0) (NIST AI 100-1). https://doi.org/10.6028/NIST.AI.100-1
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