A review of trustworthy and explainable artificial intelligence (xai)

V Chamola, V Hassija, AR Sulthana, D Ghosh… - IEEe …, 2023‏ - ieeexplore.ieee.org
The advancement of Artificial Intelligence (AI) technology has accelerated the development
of several systems that are elicited from it. This boom has made the systems vulnerable to …

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 …

The programmer's assistant: Conversational interaction with a large language model for software development

SI Ross, F Martinez, S Houde, M Muller… - Proceedings of the 28th …, 2023‏ - dl.acm.org
Large language models (LLMs) have recently been applied in software engineering to
perform tasks such as translating code between programming languages, generating code …

[HTML][HTML] ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters' utilization and perceptions

RH Mogavi, C Deng, JJ Kim, P Zhou, YD Kwon… - Computers in Human …, 2024‏ - Elsevier
To foster the development of pedagogically potent and ethically sound AI-integrated
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …

Intelligent computing: the latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023‏ - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

" help me help the ai": Understanding how explainability can support human-ai interaction

SSY Kim, EA Watkins, O Russakovsky, R Fong… - Proceedings of the …, 2023‏ - dl.acm.org
Despite the proliferation of explainable AI (XAI) methods, little is understood about end-
users' explainability needs and behaviors around XAI explanations. To address this gap and …

[HTML][HTML] Automated data processing and feature engineering for deep learning and big data applications: a survey

A Mumuni, F Mumuni - Journal of Information and Intelligence, 2024‏ - Elsevier
Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …

Understanding design collaboration between designers and artificial intelligence: A systematic literature review

Y Shi, T Gao, X Jiao, N Cao - Proceedings of the ACM on Human …, 2023‏ - dl.acm.org
Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …

[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Map** the journey from data to wisdom

T Shaik, X Tao, L Li, H **e, JD Velásquez - Information Fusion, 2024‏ - Elsevier
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

Metaagents: Simulating interactions of human behaviors for llm-based task-oriented coordination via collaborative generative agents

Y Li, Y Zhang, L Sun - arxiv preprint arxiv:2310.06500, 2023‏ - arxiv.org
Significant advancements have occurred in the application of Large Language Models
(LLMs) for various tasks and social simulations. Despite this, their capacities to coordinate …