[HTML][HTML] Large language models in law: A survey

J Lai, W Gan, J Wu, Z Qi, SY Philip - AI Open, 2024 - Elsevier
The advent of artificial intelligence (AI) has significantly impacted the traditional judicial
industry. Moreover, recently, with the development of the concept of AI-generated content …

What is human-centered about human-centered AI? A map of the research landscape

T Capel, M Brereton - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

[PDF][PDF] Overreliance on AI literature review

S Passi, M Vorvoreanu - Microsoft Research, 2022 - microsoft.com
This report synthesizes~ 60 research papers about overreliance on AI. The papers originate
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty

J Jiang, S Kahai, M Yang - International Journal of Human-Computer …, 2022 - Elsevier
In recent years, AI explainability (XAI) has received wide attention. Although XAI is expected
to play a positive role in decision-making and advice acceptance, various opposing effects …

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas… - bmj, 2025 - bmj.com
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …

Fairness issues, current approaches, and challenges in machine learning models

TD Jui, P Rivas - International Journal of Machine Learning and …, 2024 - Springer
With the increasing influence of machine learning algorithms in decision-making processes,
concerns about fairness have gained significant attention. This area now offers significant …

Unveiling the shadows: Beyond the hype of AI in education

AM Al-Zahrani - Heliyon, 2024 - cell.com
Despite the wave of enthusiasm for the role of Artificial Intelligence (AI) in resha**
education, critical voices urge a more tempered approach. This study investigates the less …

[HTML][HTML] Exploring the landscape of explainable artificial intelligence (XAI): A systematic review of techniques and applications

SU Hamida, MJM Chowdhury, NR Chakraborty… - Big Data and Cognitive …, 2024 - mdpi.com
Artificial intelligence (AI) encompasses the development of systems that perform tasks
typically requiring human intelligence, such as reasoning and learning. Despite its …

Integrity-based explanations for fostering appropriate trust in AI agents

S Mehrotra, CC Jorge, CM Jonker… - ACM Transactions on …, 2024 - dl.acm.org
Appropriate trust is an important component of the interaction between people and AI
systems, in that “inappropriate” trust can cause disuse, misuse, or abuse of AI. To foster …