TY - GEN
T1 - AI Systems Trustworthiness Assessment
T2 - 12th International Conference on Model-Based Software and Systems Engineering, MODELSWARD 2024
AU - Awadid, Afef
AU - Amokrane-Ferka, Kahina
AU - Sohier, Henri
AU - Mattioli, Juliette
AU - Adjed, Faouzi
AU - Gonzalez, Martin
AU - Khalfaoui, Souhaiel
N1 - Publisher Copyright:
© 2024 by SCITEPRESS – Science and Technology Publications, Lda.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Model-based System Engineering (MBSE) has been advocated as a promising approach to reduce the complexity of AI-based systems development. However, given the uncertainties and risks associated with Artificial Intelligence (AI), the successful application of MBSE requires the assessment of AI trustworthiness. To deal with this issue, this paper provides a state of the art review of AI trustworthiness assessment in terms of trustworthiness attributes/ characteristics and their corresponding evaluation metrics. Examples of such attributes include data quality, robustness, and explainability. The proposed review is based on academic and industrial literature conducted within the Confiance.ai research program.
AB - Model-based System Engineering (MBSE) has been advocated as a promising approach to reduce the complexity of AI-based systems development. However, given the uncertainties and risks associated with Artificial Intelligence (AI), the successful application of MBSE requires the assessment of AI trustworthiness. To deal with this issue, this paper provides a state of the art review of AI trustworthiness assessment in terms of trustworthiness attributes/ characteristics and their corresponding evaluation metrics. Examples of such attributes include data quality, robustness, and explainability. The proposed review is based on academic and industrial literature conducted within the Confiance.ai research program.
KW - AI-Based Systems
KW - Metrics
KW - State of the Art Review
KW - Trustworthiness Assessment
KW - Trustworthiness Attributes
UR - http://www.scopus.com/inward/record.url?scp=85190370125&partnerID=8YFLogxK
U2 - 10.5220/0012619600003645
DO - 10.5220/0012619600003645
M3 - Conference contribution
AN - SCOPUS:85190370125
SN - 9789897586828
T3 - International Conference on Model-Driven Engineering and Software Development
SP - 322
EP - 333
BT - Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering
A2 - Domínguez Mayo, Francisco José
A2 - Pires, Luís Ferreira
A2 - Seidewitz, Edwin
PB - Science and Technology Publications, Lda
Y2 - 21 February 2024 through 23 February 2024
ER -