Accepted for/Published in: JMIR Research Protocols
Date Submitted: Aug 27, 2021
Date Accepted: Apr 21, 2022
Ageism and Artificial intelligence: A Protocol for a Scoping Review
ABSTRACT
Background:
Artificial intelligence (AI) has emerged as a major driver of technological development in the 21st century, yet little attention has been paid to algorithmic biases towards older adults.
Objective:
This paper documents the search strategy and process for a scoping review exploring how age-related bias is encoded or amplified in AI systems as well as the corresponding legal and ethical implications.
Methods:
The scoping review follows a six-stage methodology framework developed by Arksey and O'Malley [1]. The search strategy has been established in six databases. We will investigate legal implications of ageism in AI by searching grey literature databases, targeted websites, popular search engines, and iterative search strategy. Studies meet the inclusion criteria if they are in English, peer-reviewed, available electronically in full-text, and meet one of the following two additional criteria: (1) include ‘bias’ related to AI in any application (e.g., facial recognition); and (2) discuss bias related to the concept of old age or ageism. At least two reviewers will independently conduct title/abstract screening and full-text screening. Search results will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) [2]. We will chart data on a structured form and conduct a thematic analysis to highlight the societal, legal, and ethical implications reported in the literature.
Results:
Database searches resulted in 7 ,595. The scoping review will be completed by December 2022.
Conclusions:
The purpose of this study is to identify the existence of age-related biases encoded or amplified in AI systems. This project aims to ensure that AI is developed and deployed in a manner consistent with ethical values and human rights legislation, particularly as it relates to an older and aging population. We will publish review findings in peer-reviewed journals and disseminate key results with stakeholders via workshops and webinars.
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Copyright
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