Are we preparing for a good AI society? A bibliometric review and research agenda

SF Wamba, RE Bawack, C Guthrie, MM Queiroz… - … Forecasting and Social …, 2021 - Elsevier
Artificial intelligence (AI) may be one of the most disruptive technologies of the 21st century,
with the potential to transform every aspect of society. Preparing for a “good AI society” has …

[HTML][HTML] A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions

B Khemani, S Patil, K Kotecha, S Tanwar - Journal of Big Data, 2024 - Springer
Deep learning has seen significant growth recently and is now applied to a wide range of
conventional use cases, including graphs. Graph data provides relational information …

[图书][B] Machine habitus: Toward a sociology of algorithms

M Airoldi - 2021 - books.google.com
We commonly think of society as made of and by humans, but with the proliferation of
machine learning and AI technologies, this is clearly no longer the case. Billions of …

[HTML][HTML] Gender inequality and self-publication are common among academic editors

F Liu, P Holme, M Chiesa, B AlShebli… - Nature human …, 2023 - nature.com
Scientific editors shape the content of academic journals and set standards for their fields.
Yet, the degree to which the gender makeup of editors reflects that of scientists, and the rate …

Hello, World: Artificial intelligence and its use in the public sector

J Berryhill, KK Heang, R Clogher, K McBride - 2019 - oecd-ilibrary.org
Artificial Intelligence (AI) is an area of research and technology application that can have a
significant impact on public policies and services in many ways. In just a few years, it is …

Biochar in the 21st century: a data-driven visualization of collaboration, frontier identification, and future trend

F Qin, J Li, C Zhang, G Zeng, D Huang, X Tan… - Science of The Total …, 2022 - Elsevier
The massive amounts of publication data are highly valuable, because in addition to the
advancement in science, technology, and policy, such data can provide critical information …

The De-democratization of AI: Deep learning and the compute divide in artificial intelligence research

N Ahmed, M Wahed - arXiv preprint arXiv:2010.15581, 2020 - arxiv.org
Increasingly, modern Artificial Intelligence (AI) research has become more computationally
intensive. However, a growing concern is that due to unequal access to computing power …

Blockchain for explainable and trustworthy artificial intelligence

M Nassar, K Salah, MH ur Rehman… - … Reviews: Data Mining …, 2020 - Wiley Online Library
The increasing computational power and proliferation of big data are now empowering
Artificial Intelligence (AI) to achieve massive adoption and applicability in many fields. The …

[HTML][HTML] Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of …

S Hajkowicz, C Sanderson, S Karimi, A Bratanova… - Technology in …, 2023 - Elsevier
Analysing historical patterns of artificial intelligence (AI) adoption can inform decisions about
AI capability uplift, but research to date has provided a limited view of AI adoption across …

[HTML][HTML] Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network

M Krenn, L Buffoni, B Coutinho, S Eppel… - Nature Machine …, 2023 - nature.com
A tool that could suggest new personalized research directions and ideas by taking insights
from the scientific literature could profoundly accelerate the progress of science. A field that …