Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges

K Ahmad, M Maabreh, M Ghaly, K Khan, J Qadir… - Computer Science …, 2022 - Elsevier
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …

Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices

ATG Tapeh, MZ Naser - Archives of Computational Methods in …, 2023 - Springer
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

Exploring artificial intelligence adoption in public organizations: a comparative case study

O Neumann, K Guirguis, R Steiner - Public Management Review, 2024 - Taylor & Francis
Despite the enormous potential of artificial intelligence (AI), many public organizations
struggle to adopt this technology. Simultaneously, empirical research on what determines …

How different groups prioritize ethical values for responsible AI

M Jakesch, Z Buçinca, S Amershi… - Proceedings of the 2022 …, 2022 - dl.acm.org
Private companies, public sector organizations, and academic groups have outlined ethical
values they consider important for responsible artificial intelligence technologies. While their …

[HTML][HTML] The sustainability of artificial intelligence: An urbanistic viewpoint from the lens of smart and sustainable cities

T Yigitcanlar, F Cugurullo - Sustainability, 2020 - mdpi.com
The popularity and application of artificial intelligence (AI) are increasing rapidly all around
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …

Big data in education: The digital future of learning, policy and practice

B Williamson - 2017 - torrossa.com
Big data, algorithms, data mining, analytics, machine learning and AI have become some of
the most significant technical developments and concepts of recent years. Today's most …

Sok: Security and privacy in machine learning

N Papernot, P McDaniel, A Sinha… - 2018 IEEE European …, 2018 - ieeexplore.ieee.org
Advances in machine learning (ML) in recent years have enabled a dizzying array of
applications such as data analytics, autonomous systems, and security diagnostics. ML is …

Artificial intelligence and clinical anatomical education: Promises and perils

MD Lazarus, M Truong, P Douglas… - Anatomical Sciences …, 2024 - Wiley Online Library
Anatomy educators are often at the forefront of adopting innovative and advanced
technologies for teaching, such as artificial intelligence (AI). While AI offers potential new …

Adversarial examples: Opportunities and challenges

J Zhang, C Li - IEEE transactions on neural networks and …, 2019 - ieeexplore.ieee.org
Deep neural networks (DNNs) have shown huge superiority over humans in image
recognition, speech processing, autonomous vehicles, and medical diagnosis. However …

[HTML][HTML] The threat, hype, and promise of artificial intelligence in education

N Humble, P Mozelius - Discover Artificial Intelligence, 2022 - Springer
The idea of building intelligent machines has been around for centuries, with a new wave of
promising artificial intelligence (AI) in the twenty-first century. Artificial Intelligence in …