Explainable artificial intelligence: a comprehensive review
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …
Explainable artificial intelligence in information systems: A review of the status quo and future research directions
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …
phenomenon of global interest for academia, business, and society and brought about the …
Explainable artificial intelligence: objectives, stakeholders, and future research opportunities
C Meske, E Bunde, J Schneider… - Information Systems …, 2022 - Taylor & Francis
Artificial Intelligence (AI) has diffused into many areas of our private and professional life. In
this research note, we describe exemplary risks of black-box AI, the consequent need for …
this research note, we describe exemplary risks of black-box AI, the consequent need for …
Explainability in supply chain operational risk management: A systematic literature review
It is important to manage operational disruptions to ensure the success of supply chain
operations. To achieve this aim, researchers have developed techniques that determine the …
operations. To achieve this aim, researchers have developed techniques that determine the …
[HTML][HTML] A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence
I Ghosh, TD Chaudhuri, E Alfaro-Cortés… - … Forecasting and Social …, 2022 - Elsevier
The paper presents a framework to forecast futures prices of stocks listed on the National
Stock Exchange (NSE) in India during normal (unaffected by the COVID-19 pandemic) and …
Stock Exchange (NSE) in India during normal (unaffected by the COVID-19 pandemic) and …
[HTML][HTML] An explanation framework and method for AI-based text emotion analysis and visualisation
With the rapid development of artificial intelligence, there is an increasing number of
industries relying on the accuracy and efficiency of deep learning algorithms. But due to the …
industries relying on the accuracy and efficiency of deep learning algorithms. But due to the …
Towards an understanding and explanation for mixed-initiative artificial scientific text detection
Large language models (LLMs) have gained popularity in various fields for their exceptional
capability of generating human-like text. Their potential misuse has raised social concerns …
capability of generating human-like text. Their potential misuse has raised social concerns …
[HTML][HTML] Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning
This paper presents LSHAD, an anomaly detection (AD) method based on Locality Sensitive
Hashing (LSH), capable of dealing with large-scale datasets. The resulting algorithm is …
Hashing (LSH), capable of dealing with large-scale datasets. The resulting algorithm is …
How much is the black box? The value of explainability in machine learning models
J Wanner, LV Herm, C Janiesch - 2020 - aisel.aisnet.org
Abstract Machine learning enables computers to learn from data and fuels artificial
intelligence systems with capabilities to make even super-human decisions. Yet, despite …
intelligence systems with capabilities to make even super-human decisions. Yet, despite …
Accurate interpretation of the online learning model for 6G-enabled Internet of Things
J Huang, G Li, J Tian, S Li - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The next-generation network (6G) has more strict requirements for the online learning ability
and high interpretability of the learned systems. Machine learning is expected to be …
and high interpretability of the learned systems. Machine learning is expected to be …