Trustworthy artificial intelligence: a review

D Kaur, S Uslu, KJ Rittichier, A Durresi - ACM computing surveys (CSUR …, 2022 - dl.acm.org
Artificial intelligence (AI) and algorithmic decision making are having a profound impact on
our daily lives. These systems are vastly used in different high-stakes applications like …

From ethical AI frameworks to tools: a review of approaches

E Prem - AI and Ethics, 2023 - Springer
In reaction to concerns about a broad range of potential ethical issues, dozens of proposals
for addressing ethical aspects of artificial intelligence (AI) have been published. However …

[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 …

Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration

F Fui-Hoon Nah, R Zheng, J Cai, K Siau… - Journal of information …, 2023 - Taylor & Francis
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …

[PDF][PDF] Trustllm: Trustworthiness in large language models

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

[KNYGA][B] Towards a standard for identifying and managing bias in artificial intelligence

R Schwartz, R Schwartz, A Vassilev, K Greene… - 2022 - view.ckcest.cn
As individuals and communities interact in and with an environment that is increasingly
virtual, they are often vulnerable to the commodification of their digital footprint. Concepts …

[HTML][HTML] Position: TrustLLM: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu… - International …, 2024 - proceedings.mlr.press
Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

Algorithmic bias: review, synthesis, and future research directions

N Kordzadeh, M Ghasemaghaei - European Journal of Information …, 2022 - Taylor & Francis
As firms are moving towards data-driven decision making, they are facing an emerging
problem, namely, algorithmic bias. Accordingly, algorithmic systems can yield socially …

Governance of artificial intelligence

A Taeihagh - Policy and society, 2021 - academic.oup.com
The rapid developments in Artificial Intelligence (AI) and the intensification in the adoption of
AI in domains such as autonomous vehicles, lethal weapon systems, robotics and alike pose …

Consent in crisis: The rapid decline of the ai data commons

S Longpre, R Mahari, A Lee, C Lund… - Advances in …, 2025 - proceedings.neurips.cc
General-purpose artificial intelligence (AI) systems are built on massive swathes of public
web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge …