AI AGEISM: A ROADMAP FOR STUDYING AGEISM IN THE ERA OF ALGORITHMS: REFLECTIONS AND FUTURE RESEARCH DIRECTIONS
2024
AI Ageism: Understanding Age Discrimination in Artificial Intelligence
publication
Author Information
Author(s): Justyna Stypinska
Primary Institution: WZB Berlin Social Science Center
Hypothesis
How does ageism manifest in the field of artificial intelligence?
Conclusion
The study reveals that ageism in AI leads to significant exclusion of older adults from technology and services.
Supporting Evidence
- The study identifies five forms of ageism in AI, including biases in algorithms and the invisibility of older adults.
- Empirical analysis was conducted through various methods including interviews with older persons.
Takeaway
This study looks at how older people are often left out of discussions and decisions about technology, which isn't fair.
Methodology
The study used policy text analysis, computational algorithmic simulation, and qualitative interviews.
Participant Demographics
Data collected from Germany, Spain, Great Britain, and the Netherlands.
Digital Object Identifier (DOI)
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