Ethics and acceptance of smart homes for older adults
Societal challenges associated with caring for the physical and mental health of older adults
worldwide have grown at an unprecedented pace, increasing demand for health-care …
worldwide have grown at an unprecedented pace, increasing demand for health-care …
Artificial intelligence and machine learning in radiology: current state and considerations for routine clinical implementation
JL Wichmann, MJ Willemink… - Investigative …, 2020 - journals.lww.com
Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …
last decade, the field of radiology has seen tremendous innovation and also public focus …
Thinking responsibly about responsible AI and 'the dark side'of AI
Artificial Intelligence (AI) has been argued to offer a myriad of improvements in how we work
and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals …
and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals …
Think locally, act globally: Federated learning with local and global representations
Federated learning is a method of training models on private data distributed over multiple
devices. To keep device data private, the global model is trained by only communicating …
devices. To keep device data private, the global model is trained by only communicating …
Multibench: Multiscale benchmarks for multimodal representation learning
Learning multimodal representations involves integrating information from multiple
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …
Hybrid collective intelligence in a human–AI society
Within current debates about the future impact of Artificial Intelligence (AI) on human society,
roughly three different perspectives can be recognised:(1) the technology-centric …
roughly three different perspectives can be recognised:(1) the technology-centric …
Demoting racial bias in hate speech detection
In current hate speech datasets, there exists a high correlation between annotators'
perceptions of toxicity and signals of African American English (AAE). This bias in annotated …
perceptions of toxicity and signals of African American English (AAE). This bias in annotated …
Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory
J Li, JS Huang - Technology in Society, 2020 - Elsevier
With the rapid development of artificial intelligence (AI), AI anxiety has emerged and is
receiving widespread attention, but research on this topic is not comprehensive. Therefore …
receiving widespread attention, but research on this topic is not comprehensive. Therefore …
[HTML][HTML] The practical ethics of bias reduction in machine translation: Why domain adaptation is better than data debiasing
This article probes the practical ethical implications of AI system design by reconsidering the
important topic of bias in the datasets used to train autonomous intelligent systems. The …
important topic of bias in the datasets used to train autonomous intelligent systems. The …
[HTML][HTML] Applications of interpretability in deep learning models for ophthalmology
Interpretability methods support the transparency necessary to implement, operate and
modify complex deep learning models. These benefits are becoming increasingly …
modify complex deep learning models. These benefits are becoming increasingly …