Year: 2025
Type: article
Abstract: Ageism, a pervasive form of discrimination based on age, has become a growing concern across various fields. Artificial Intelligence (AI), despite its transformative potential, has unintentionally reinforced ageist stereotypes through flawed design, biased datasets, and implementation practices. This review delves into the complex interplay between ageism and AI, offering a thorough analysis of existing research on the subject and its consequences for older adults. It highlights significant gaps, including the underrepresentation of older individuals in datasets and the absence of age-inclusive design standards, which perpetuate algorithmic biases. Ethical principles, policy development, and societal implications of ageist AI systems are critically assessed. Furthermore, the article proposes constructive strategies and outlines future research directions to promote equitable and inclusive AI systems. By addressing these challenges, this review aims to contribute to a fair and dignified technological landscape for all age groups.
Source: Journal of Ageing and Longevity
DOI: 10.3390/jal5030036
Author: Diana Amundsen
Institution: University of Waikato
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: gold
Estimated APC paid: $1,207
OpenAlex ID: W4414328155