Artificial intelligence (AI) and machine learning are changing our world through their impact
on sectors including health care, education, employment, finance, and law. AI systems are …

There are widespread concerns about bias and discriminatory output related to artificial
intelligence (AI), which may propagate social biases and disparities. Digital ageism refers to …

In the last few years, we have witnessed a surge in scholarly interest and scientific evidence
of how algorithms can produce discriminatory outcomes, especially with regard to gender …

Ageist views have typically held that older persons are poor, frail, and resistant to change.
One facet of this portrait of the older population has to do with their lower willingness and …

Within the context of the intersection of the global megatrends of urbanisation, ageing
societies and digitalisation, this paper explores older people's mobility, with a particular …

Considering that data are no stranger to politics and power, we argue that it may well be a
site of age-based discrimination. We discuss how older people are described and, at times …

Older adults are increasingly using smartphones. Researchers have identified demographic,
attitudinal factors and social outcomes related to inequalities in access, skills, and activities …

2 Andrea Rosales, Jakob Svensson and Mireia Fernández-Ardèvol improvement, for some
people, particularly those on the wrong side of the digital divide, it represents yet another …

This article examines the datafication of ageing by drawing on a practice approach toward
care. We describe the datafication of ageing as a matter of care, achieved through the local …

AI systems in medicine and healthcare are being extensively explored in prevention,
diagnosis, novel drug designs and after-care. The application of AI technology in healthcare …