[HTML][HTML] Notions of explainability and evaluation approaches for explainable artificial intelligence
Abstract Explainable Artificial Intelligence (XAI) has experienced a significant growth over
the last few years. This is due to the widespread application of machine learning, particularly …
the last few years. This is due to the widespread application of machine learning, particularly …
Digitizing intangible cultural heritage embodied: State of the art
Intangible cultural heritage (ICH) as a field of research and site for digital efforts has grown
significantly since the UNESCO 2003 Convention for the Safeguarding of Intangible …
significantly since the UNESCO 2003 Convention for the Safeguarding of Intangible …
[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …
sustained over three main pillars that should be met throughout the system's entire life cycle …
Explainable artificial intelligence (xai) on timeseries data: A survey
Most of state of the art methods applied on time series consist of deep learning methods that
are too complex to be interpreted. This lack of interpretability is a major drawback, as several …
are too complex to be interpreted. This lack of interpretability is a major drawback, as several …
[HTML][HTML] Human-centered artificial intelligence: The superlative approach to achieve sustainable development goals in the fourth industrial revolution
D Mhlanga - Sustainability, 2022 - mdpi.com
Artificial intelligence (AI) is currently being developed by large corporations, and
governments all over the world are yearning for it. AI isn'ta futuristic concept; it is already …
governments all over the world are yearning for it. AI isn'ta futuristic concept; it is already …
[HTML][HTML] EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural …
Abstract The latest Deep Learning (DL) models for detection and classification have
achieved an unprecedented performance over classical machine learning algorithms …
achieved an unprecedented performance over classical machine learning algorithms …
Artificial intelligence assisted improved human-computer interactions for computer systems
MS Alkatheiri - Computers and Electrical Engineering, 2022 - Elsevier
The interaction between people and computers takes place everywhere in everyday life
through information processing. As the degree of contact between humans and computers …
through information processing. As the degree of contact between humans and computers …
Responsible and human centric AI-based insurance advisors
G Pisoni, N Díaz-Rodríguez - Information Processing & Management, 2023 - Elsevier
The domain about what it means to give responsible and human centric recommendations
in the context of Artificial Intelligence (AI)-based insurance has not yet been fully explored. In …
in the context of Artificial Intelligence (AI)-based insurance has not yet been fully explored. In …
A Survey on the Potential of Artificial Intelligence Tools in Tourism Information Services
OM Alyasiri, K Selvaraj… - Babylonian …, 2024 - journals.mesopotamian.press
Recently, ChatGPT, an advanced AI language model, has transformed the tourism industry
by redefining how travelers access information and experience destinations. This survey …
by redefining how travelers access information and experience destinations. This survey …
[HTML][HTML] Fuzzy cognitive maps: their role in explainable artificial intelligence
ID Apostolopoulos, PP Groumpos - Applied Sciences, 2023 - mdpi.com
Currently, artificial intelligence is facing several problems with its practical implementation in
various application domains. The explainability of advanced artificial intelligence algorithms …
various application domains. The explainability of advanced artificial intelligence algorithms …