Research output: Contribution to journal › Article › peer-review
The Task-Based Approach: A New Paradigm for Building Trustworthy Artificial Intelligence. / Nechesov, Andrey V.; Vityaev, Evgenii E.; Goncharov, Sergey S. et al.
In: Bulletin of Irkutsk State University, Series Mathematics, Vol. 54, 7, 2025, p. 96-112.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - The Task-Based Approach: A New Paradigm for Building Trustworthy Artificial Intelligence
AU - Nechesov, Andrey V.
AU - Vityaev, Evgenii E.
AU - Goncharov, Sergey S.
AU - Sviridenko, Dmitry I.
N1 - Nechesov A. V., Vityaev E. E., Goncharov S. S., Sviridenko D. I. The Task-Based Approach: A New Paradigm for Building Trustworthy Artificial Intelligence. The Bulletin of Irkutsk State University. Series Mathematics, 2025, vol. 54, pp. 96–112. https://doi.org/10.26516/1997-7670.2025.54.96 This work was supported by a grant for research centers, provided by the Ministry of Economic Development of the Russian Federation in accordance with the subsidy agreement with the Novosibirsk State University dated April 17, 2025 No.139-15-2025-006: IGK 000000C313925P3S0002.
PY - 2025
Y1 - 2025
N2 - While AI systems excel at reasoning within formal frameworks, their tendency to hallucinate remains a critical challenge. This paper proposes a task-basedapproach to enhance reliability. By focusing on the specific task and its resolution criteria, we ensure AI solutions are informed by a deep understanding of the problem’s inherent limitations, including its defining axioms and theorems. This comprehension of the problem’s structure and constraints is key to mitigating hallucination and building trustworthy AI.
AB - While AI systems excel at reasoning within formal frameworks, their tendency to hallucinate remains a critical challenge. This paper proposes a task-basedapproach to enhance reliability. By focusing on the specific task and its resolution criteria, we ensure AI solutions are informed by a deep understanding of the problem’s inherent limitations, including its defining axioms and theorems. This comprehension of the problem’s structure and constraints is key to mitigating hallucination and building trustworthy AI.
KW - agent-based approach
KW - artificial intelligence
KW - computability
KW - machine learning
KW - semantic modeling
KW - task approach
KW - artificial intelligence
KW - machine learning
KW - agent-based approach
KW - task approach
KW - computability
KW - semantic modeling
UR - https://www.scopus.com/pages/publications/105023650466
UR - https://www.mendeley.com/catalogue/410e80a6-ef65-3ab4-996d-f82ccbf8b1e7/
U2 - 10.26516/1997-7670.2025.54.96
DO - 10.26516/1997-7670.2025.54.96
M3 - Article
VL - 54
SP - 96
EP - 112
JO - Bulletin of Irkutsk State University, Series Mathematics
JF - Bulletin of Irkutsk State University, Series Mathematics
SN - 1997-7670
M1 - 7
ER -
ID: 72664944