Promoting User Trust in AI: The Case of Language Technologies
2024
Promoting User Trust in AI: The Case of Language Technologies
publication
Author Information
Author(s): Diaz-Asper Catherine, Chandler Chelsea, Elvevåg Brita
Conclusion
The study highlights both the potential benefits and ethical challenges of using language technologies with older adults.
Supporting Evidence
- Advancements in AI allow for better recognition and generation of human language.
- Ethical challenges include transparency, equity, and bias in language technologies.
- Older adults may have reduced trust in AI due to lack of familiarity.
Takeaway
This study talks about how computers can understand and talk like humans, but we need to be careful because not everyone is treated fairly by these technologies.
Potential Biases
There is a risk of bias against underrepresented groups in the data used to train AI models.
Limitations
The study notes that many language technologies do not consider demographic factors, which can lead to unfair assessments.
Participant Demographics
The study particularly considers older adults and those with cognitive complaints.
Digital Object Identifier (DOI)
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