Ethical Artificial Intelligence for Older Adults
Author Information
Author(s): McNellis Cynthia
Primary Institution: American Public University System
Hypothesis
How can ethical AI policies be developed to better serve older adults?
Conclusion
The study identifies gaps in ethical AI design and offers policy recommendations to improve AI systems for older adults.
Supporting Evidence
- Gaps in ethical AI design were identified.
- Policy recommendations were made to improve AI for older adults.
- The study emphasizes the importance of inclusive data collection.
- Algorithmic biases were highlighted as a concern.
- A New Jersey AI Ethical Framework is proposed.
Takeaway
The research looks at how to make sure that technology helps older people and doesn't leave them behind. It suggests rules to make AI fair and helpful for them.
Methodology
The research analyzes existing AI ethical policies and recommendations from various regions without going back before 2019.
Potential Biases
Potential algorithmic biases and gaps in inclusive data collection were identified.
Limitations
The study focuses only on policies from the European Union, United States, and U.S. States, which may not cover all relevant ethical considerations.
Participant Demographics
Older adults.
Digital Object Identifier (DOI)
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