Simon Donato‐Woodger
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View article: Mitigating Digital Ageism in Skin Lesion Detection with Adversarial Learning
Mitigating Digital Ageism in Skin Lesion Detection with Adversarial Learning Open
Deep learning-based medical image classification models have been shown to exhibit race-, gender-, and age-related biases towards certain demographic attributes. Existing bias mitigation methods primarily focus on learning debiased models,…
View article: Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review
Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review Open
Background Research suggests that digital ageism, that is, age-related bias, is present in the development and deployment of machine learning (ML) models. Despite the recognition of the importance of this problem, there is a lack of resear…
View article: STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW
STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW Open
Digital ageism, defined as age-related bias in artificial intelligence (AI) and technological systems, has emerged as a significant concern for its potential impact on society, health, equity, and older people’s well-being. This scoping re…
View article: Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review (Preprint)
Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review (Preprint) Open
BACKGROUND Research suggests that digital ageism, that is, age-related bias, is present in the development and deployment of machine learning (ML) models. Despite the recognition of the importance of this problem, there is a lack of resea…
View article: Age-related bias and artificial intelligence: a scoping review
Age-related bias and artificial intelligence: a scoping review Open
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 ageism reflected design, development, and implementatio…
View article: Examining the technology-mediated cycles of injustice that contribute to digital ageism
Examining the technology-mediated cycles of injustice that contribute to digital ageism Open
Our work draws attention to digital ageism referring to the nexus of ageism (discrimination or bias related to age) that is mediated and perpetuated by artificial intelligent (AI) systems and technologies. Building on the World Health Orga…
View article: A multicenter study of short-term changes in mental health emergency services use during lockdown in Kitchener-Waterloo, Ontario during the COVID-19 pandemic
A multicenter study of short-term changes in mental health emergency services use during lockdown in Kitchener-Waterloo, Ontario during the COVID-19 pandemic Open
Background The COVID-19 pandemic and subsequent lockdown measures have led to increasing mental health concerns in the general population. We aimed to assess the short-term impact of the pandemic lockdown on mental health emergency service…
View article: A Multicenter Study of Short-Term Changes in Mental Health Emergency Services Use During Lockdown in Kitchener-Waterloo, Ontario During the COVID-19 Pandemic
A Multicenter Study of Short-Term Changes in Mental Health Emergency Services Use During Lockdown in Kitchener-Waterloo, Ontario During the COVID-19 Pandemic Open
Background The COVID-19 pandemic and subsequent lockdown measures have led to increasing mental health concerns in the general population. We aimed to assess the short-term impact of the pandemic lockdown on mental health emergency service…
View article: Competing crises: COVID‐19 countermeasures and social isolation among older adults in long‐term care
Competing crises: COVID‐19 countermeasures and social isolation among older adults in long‐term care Open
While debate over the appropriate scope and goals of COVID-19 lockdowns has raged, all public health agencies have been clear on one matter: older adults have the highest rates of mortality (Comas-Herrera et al., 2020) and should be isolat…