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[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 …
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
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 …
high expectations of its benefits and dire predictions of misuse. While AI systems have …
[PDF][PDF] Overreliance on AI literature review
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; …
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
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 …
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
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 …
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 …
and adoption of AI technologies remain limited in clinical practice. This paper describes the …
Fairness issues, current approaches, and challenges in machine learning models
With the increasing influence of machine learning algorithms in decision-making processes,
concerns about fairness have gained significant attention. This area now offers significant …
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 …
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
Artificial intelligence (AI) encompasses the development of systems that perform tasks
typically requiring human intelligence, such as reasoning and learning. Despite its …
typically requiring human intelligence, such as reasoning and learning. Despite its …
Integrity-based explanations for fostering appropriate trust in AI agents
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 …
systems, in that “inappropriate” trust can cause disuse, misuse, or abuse of AI. To foster …