Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
G Schwalbe, B Finzel - Data Mining and Knowledge Discovery, 2023 - Springer
In the meantime, a wide variety of terminologies, motivations, approaches, and evaluation
criteria have been developed within the research field of explainable artificial intelligence …
criteria have been developed within the research field of explainable artificial intelligence …
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …
Xair: A systematic metareview of explainable ai (xai) aligned to the software development process
Currently, explainability represents a major barrier that Artificial Intelligence (AI) is facing in
regard to its practical implementation in various application domains. To combat the lack of …
regard to its practical implementation in various application domains. To combat the lack of …
[HTML][HTML] Explainable artificial intelligence and agile decision-making in supply chain cyber resilience
Although artificial intelligence can contribute to decision-making processes, many industry
players lag behind pioneering companies in utilizing artificial intelligence-driven …
players lag behind pioneering companies in utilizing artificial intelligence-driven …
Artificial intelligence: Implications for the agri-food sector
A Taneja, G Nair, M Joshi, S Sharma, S Sharma… - Agronomy, 2023 - mdpi.com
Artificial intelligence (AI) involves the development of algorithms and computational models
that enable machines to process and analyze large amounts of data, identify patterns and …
that enable machines to process and analyze large amounts of data, identify patterns and …
Explainable Artificial Intelligence (XAI): Adoption and Advocacy
M Ridley - Information technology and libraries, 2022 - ejournals.bc.edu
The field of explainable artificial intelligence (XAI) advances techniques, processes, and
strategies that provide explanations for the predictions, recommendations, and decisions of …
strategies that provide explanations for the predictions, recommendations, and decisions of …
A survey on llm-gernerated text detection: Necessity, methods, and future directions
The powerful ability to understand, follow, and generate complex language emerging from
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
The possibilities and limits of XAI in education: a socio-technical perspective
R Farrow - Learning, Media and Technology, 2023 - Taylor & Francis
Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical
practice in algorithmic education. Based on a critical review of the literature, this paper …
practice in algorithmic education. Based on a critical review of the literature, this paper …
[HTML][HTML] A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …
belonging to one class is lower than the other. Ensemble learning combines multiple models …