[HTML][HTML] Notions of explainability and evaluation approaches for explainable artificial intelligence

G Vilone, L Longo - Information Fusion, 2021 - Elsevier
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 …

Digitizing intangible cultural heritage embodied: State of the art

Y Hou, S Kenderdine, D Picca, M Egloff… - Journal on Computing …, 2022 - dl.acm.org
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 …

[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

N Díaz-Rodríguez, J Del Ser, M Coeckelbergh… - Information …, 2023 - Elsevier
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 …

Explainable artificial intelligence (xai) on timeseries data: A survey

T Rojat, R Puget, D Filliat, J Del Ser, R Gelin… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

[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 …

[HTML][HTML] EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural …

N Díaz-Rodríguez, A Lamas, J Sanchez, G Franchi… - Information …, 2022 - Elsevier
Abstract The latest Deep Learning (DL) models for detection and classification have
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 …

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 …

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 …

[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 …