[HTML][HTML] On scientific understanding with artificial intelligence

M Krenn, R Pollice, SY Guo, M Aldeghi… - Nature Reviews …, 2022 - nature.com
An oracle that correctly predicts the outcome of every particle physics experiment, the
products of every possible chemical reaction or the function of every protein would …

From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai

M Nauta, J Trienes, S Pathak, E Nguyen… - ACM Computing …, 2023 - dl.acm.org
The rising popularity of explainable artificial intelligence (XAI) to understand high-performing
black boxes raised the question of how to evaluate explanations of machine learning (ML) …

[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

S Ali, T Abuhmed, S El-Sappagh, K Muhammad… - Information fusion, 2023 - Elsevier
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

Explainable artificial intelligence: an analytical review

PP Angelov, EA Soares, R Jiang… - … : Data Mining and …, 2021 - Wiley Online Library
This paper provides a brief analytical review of the current state‐of‐the‐art in relation to the
explainability of artificial intelligence in the context of recent advances in machine learning …

[HTML][HTML] Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities

W Saeed, C Omlin - Knowledge-Based Systems, 2023 - Elsevier
The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …

[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review

Z Chen, F Xiao, F Guo, J Yan - Advances in Applied Energy, 2023 - Elsevier
Abstract Machine learning has been widely adopted for improving building energy efficiency
and flexibility in the past decade owing to the ever-increasing availability of massive building …

[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

[HTML][HTML] A survey of explainable artificial intelligence for smart cities

AR Javed, W Ahmed, S Pandya, PKR Maddikunta… - Electronics, 2023 - mdpi.com
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

Trustllm: Trustworthiness in large language models

L Sun, Y Huang, H Wang, S Wu, Q Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Electricity price forecasting on the day-ahead market using machine learning

L Tschora, E Pierre, M Plantevit, C Robardet - Applied Energy, 2022 - Elsevier
The price of electricity on the European market is very volatile. This is due both to its mode of
production by different sources, each with its own constraints (volume of production …