Diversifying training data is key to preventing ageism in AI.
Diversifying training data is key to preventing ageism in AI.
What are the risks/benefits to AI in employment, healthcare, and fraud, especially for older adults?
AI’s emerging role in empowering older adults, caregivers, and health systems.
AI is positioned to become a powerful ally in addressing age-related neurodegenerative conditions.
Facilities should quickly get up to speed to ensure AI is used well in long-term care, but also proceed with caution.
AI in older adult healthcare is poised to play a very positive role, but must be approached equitably.
As monitoring becomes more sophisticated, ideally it can free up caregivers’ time to better bond with older adults.
A strong network of like-minded organizations and individuals is crucial to aging while Black.
AI can provide many administrative functions to villages, making it easier for them to attract and retain members.
Older men have a problem with lack of purpose, but multiple volunteer groups aim to fix it.
What might AI really mean for humans, specifically older adults, going forward?
Combining data with first-hand stories will make HCBS experiences more visible and visceral.
Older adults and teens may be underestimated, but when brought together, something remarkable unfolds.
Clinicians and patients need to pay close attention to diet for adequate nutrition, particularly protein, when on weight-loss medications.