Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …
New era of artificial intelligence in education: Towards a sustainable multifaceted revolution
The recent high performance of ChatGPT on several standardized academic tests has thrust
the topic of artificial intelligence (AI) into the mainstream conversation about the future of …
the topic of artificial intelligence (AI) into the mainstream conversation about the future of …
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
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 …
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …
The impact of artificial intelligence on workers' skills: Upskilling and reskilling in organisations
Aim/Purpose This paper aims to investigate the recent developments in research and
practice on the transformation of professional skills by artificial intelligence (AI) and to …
practice on the transformation of professional skills by artificial intelligence (AI) and to …
Six human-centered artificial intelligence grand challenges
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …
human condition in ways that are not yet well understood. Negative unintended …
Deep neural networks and tabular data: A survey
Heterogeneous tabular data are the most commonly used form of data and are essential for
numerous critical and computationally demanding applications. On homogeneous datasets …
numerous critical and computationally demanding applications. On homogeneous datasets …
[كتاب][B] Towards a standard for identifying and managing bias in artificial intelligence
R Schwartz, R Schwartz, A Vassilev, K Greene… - 2022 - dwt.com
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 …
virtual, they are often vulnerable to the commodification of their digital footprint. Concepts …
[HTML][HTML] Artificial intelligence and business value: A literature review
Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several
advantages for organizations in terms off added business value. Over the past few years …
advantages for organizations in terms off added business value. Over the past few years …
A survey on datasets for fairness‐aware machine learning
As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …
Bias and debias in recommender system: A survey and future directions
While recent years have witnessed a rapid growth of research papers on recommender
system (RS), most of the papers focus on inventing machine learning models to better fit …
system (RS), most of the papers focus on inventing machine learning models to better fit …