[HTML][HTML] A survey on artificial intelligence assurance

FA Batarseh, L Freeman, CH Huang - Journal of Big Data, 2021 - Springer
Artificial Intelligence (AI) algorithms are increasingly providing decision making and
operational support across multiple domains. AI includes a wide (and growing) library of …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

[HTML][HTML] Artificial Intelligence risk measurement

P Giudici, M Centurelli, S Turchetta - Expert Systems with Applications, 2024 - Elsevier
Financial institutions are increasingly leveraging on advanced technologies, facilitated by
the availability of Machine Learning methods that are being integrated into several …

[PDF][PDF] Possibilities and challenges for artificial intelligence in military applications

P Svenmarck, L Luotsinen, M Nilsson… - Proceedings of the …, 2018 - researchgate.net
Recent developments in artificial intelligence (AI) have resulted in a breakthrough for many
classical AI-applications, such as computer vision, natural language processing, robotics …

Explainable AI for operational research: A defining framework, methods, applications, and a research agenda

KW De Bock, K Coussement, A De Caigny… - European Journal of …, 2023 - Elsevier
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Multisource AI scorecard table for system evaluation

E Blasch, J Sung, T Nguyen - arXiv preprint arXiv:2102.03985, 2021 - arxiv.org
The paper describes a Multisource AI Scorecard Table (MAST) that provides the developer
and user of an artificial intelligence (AI)/machine learning (ML) system with a standard …

Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making

Y Zhang, QV Liao, RKE Bellamy - … of the 2020 conference on fairness …, 2020 - dl.acm.org
Today, AI is being increasingly used to help human experts make decisions in high-stakes
scenarios. In these scenarios, full automation is often undesirable, not only due to the …

[HTML][HTML] Continuous auditing of artificial intelligence: A conceptualization and assessment of tools and frameworks

M Minkkinen, J Laine, M Mäntymäki - Digital Society, 2022 - Springer
Artificial intelligence (AI), which refers to both a research field and a set of technologies, is
rapidly growing and has already spread to application areas ranging from policing to …

[HTML][HTML] Survey on explainable AI: From approaches, limitations and Applications aspects

W Yang, Y Wei, H Wei, Y Chen, G Huang, X Li… - Human-Centric …, 2023 - Springer
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai… - … Journal of Intelligent …, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …