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Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
Responsible urban innovation with local government artificial intelligence (AI): A conceptual framework and research agenda
The urbanization problems we face may be alleviated using innovative digital technology.
However, employing these technologies entails the risk of creating new urban problems …
However, employing these technologies entails the risk of creating new urban problems …
[HTML][HTML] The future of sensitivity analysis: an essential discipline for systems modeling and policy support
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …
[HTML][HTML] Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet
Background Chatbots empowered by artificial intelligence (AI) can increasingly engage in
natural conversations and build relationships with users. Applying AI chatbots to lifestyle …
natural conversations and build relationships with users. Applying AI chatbots to lifestyle …
Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …
architecture, engineering, and construction (AEC) industry to positively impact project …
What to account for when accounting for algorithms: a systematic literature review on algorithmic accountability
M Wieringa - Proceedings of the 2020 conference on fairness …, 2020 - dl.acm.org
As research on algorithms and their impact proliferates, so do calls for scrutiny/accountability
of algorithms. A systematic review of the work that has been done in the field of'algorithmic …
of algorithms. A systematic review of the work that has been done in the field of'algorithmic …
A framework to overcome challenges to the adoption of artificial intelligence in Indian Government Organizations
Governments worldwide are currently in the nascent stages of integrating artificial
intelligence (AI) into their operations, and as a result, they are encountering a multitude of …
intelligence (AI) into their operations, and as a result, they are encountering a multitude of …
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
S Razavi - Environmental Modelling & Software, 2021 - Elsevier
Recent breakthroughs in artificial intelligence (AI), and particularly in deep learning (DL),
have created tremendous excitement and opportunities in the earth and environmental …
have created tremendous excitement and opportunities in the earth and environmental …
The dawn of the AI robots: towards a new framework of AI robot accountability
Business, management, and business ethics literature pay little attention to the topic of AI
robots. The broad spectrum of potential ethical issues pertains to using driverless cars, AI …
robots. The broad spectrum of potential ethical issues pertains to using driverless cars, AI …
Interrelations between construction ethics and innovation: A bibliometric analysis using VOSviewer
Purpose Many companies invest in innovations because of the inherent benefits, and
research on innovation has increased over the year. However, the vast majority of research …
research on innovation has increased over the year. However, the vast majority of research …