AIMC Topic: Ageism

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Is Artificial Intelligence ageist?

European geriatric medicine
INTRODUCTION: Generative Artificial Intelligence (AI) is a technological innovation with wide applicability in daily life, which could help elderly people. However, it raises potential conflicts, such as biases, omissions and errors.

Fairer AI in ophthalmology via implicit fairness learning for mitigating sexism and ageism.

Nature communications
The transformative role of artificial intelligence (AI) in various fields highlights the need for it to be both accurate and fair. Biased medical AI systems pose significant potential risks to achieving fair and equitable healthcare. Here, we show an...

Nothing to be ashamed of: sex robots for older adults with disabilities.

Journal of medical ethics
This paper spotlights ways in which sexual capacities relate to central human capabilities, such as the ability to generate a personally meaningful story of one's life; be physically, mentally and emotionally healthy; experience bodily integrity; aff...

Navigating autonomy, privacy, and ageism in robot home care with aged users: A preliminary analysis of ROB-IN.

Bioethics
In this article, I propose an ethical analysis of assistive domestic robots for older users. In doing so, I illustrate my inquiry with the example of ROB-IN assistive robot. ROB-IN is a Spanish project which is devoted to developing a robot that will...

A Call for Integrated Approaches in Digital Technology Design for Aging and Disability.

The Gerontologist
The fields of aging and disability often proceed as 2 distinct lines of inquiry and action in terms of digital technology design. Guidelines and standards in both spaces (e.g., web content accessibility guidelines) have had suboptimal impact due to l...

Living Longer Better.

Plastic and reconstructive surgery
Aging is a universal feature of life and a complex process at all levels from the biological to the societal. What constitutes older age is subjective and flexible, and how one defines older age is influenced by everchanging individual, generational,...

Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer's Disease Stigma on Twitter.

The journals of gerontology. Series B, Psychological sciences and social sciences
OBJECTIVES: Social scientists need practical methods for harnessing large, publicly available datasets that inform the social context of aging. We describe our development of a semi-automated text coding method and use a content analysis of Alzheimer...