Human-versus artificial intelligence

JEH Korteling, GC van de Boer-Visschedijk… - Frontiers in artificial …, 2021 - frontiersin.org
AI is one of the most debated subjects of today and there seems little common
understanding concerning the differences and similarities of human intelligence and artificial …

[PDF][PDF] Bias and fairness in chatbots: An overview

J Xue, YC Wang, C Wei, X Liu, J Woo… - … on Signal and …, 2024 - nowpublishers.com
Chatbots have been studied for more than half a century. With the rapid development of
natural language processing (NLP) technologies in recent years, chatbots using large …

[HTML][HTML] Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification

HL Dawson, O Dubrule, CM John - Computers & Geosciences, 2023 - Elsevier
Modern geological practices, in both industry and academia, rely largely on a legacy of
observational data at a range of scales. However, widespread ambiguities in the …

Cognitive bias and how to improve sustainable decision making

JE Korteling, GL Paradies… - Frontiers in …, 2023 - frontiersin.org
The rapid advances of science and technology have provided a large part of the world with
all conceivable needs and comfort. However, this welfare comes with serious threats to the …

Develo** persuasive systems for marketing: The interplay of persuasion techniques, customer traits and persuasive message design

A Braca, P Dondio - Italian Journal of Marketing, 2023 - Springer
This paper presents a comprehensive review of persuasion techniques and their
applications in the context of designing persuasive communication systems for marketing …

Decision making biases in the allied health professions: a systematic sco** review

R Featherston, LE Downie, AP Vogel, KL Galvin - PLoS One, 2020 - journals.plos.org
Objectives Cognitive and other biases can influence the quality of healthcare decision
making. While substantial research has explored how biases can lead to diagnostic or other …

Deep-reinforcement-learning-based predictive maintenance model for effective resource management in industrial IoT

KSH Ong, W Wang, D Niyato… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unplanned breakdown of critical equipment interrupts production throughput in Industrial IoT
(IIoT), and data-driven predictive maintenance (PdM) becomes increasingly important for …

[HTML][HTML] Managing rebound pain after regional anesthesia

F Muñoz-Leyva, J Cubillos… - Korean journal of …, 2020 - synapse.koreamed.org
Rebound pain after regional anesthesia can be defined as transient acute postoperative
pain that ensues following resolution of sensory blockade, and is clinically significant, either …

How AI tools can—and cannot—help organizations become more ethical

D De Cremer, D Narayanan - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
In this paper, we argue that we cannot expect that AI systems—even given more data or
better computational resources—will be more ethical than the humans who develop, deploy …

Artificial intelligence adoption in extended HR ecosystems: enablers and barriers. An abductive case research

A Singh, J Pandey - Frontiers in Psychology, 2024 - frontiersin.org
Artificial intelligence (AI) has disrupted modern workplaces like never before and has
induced digital workstyles. These technological advancements are generating significant …