AI ‘ageism’ could seriously impact elderly health: WHO
... AI algorithms can solidify existing disparities in health care and "systematically discriminate on a much larger scale than biased individuals," the policy brief warned.
In addition, the brief pointed out that datasets used to train AI algorithms often exclude or significantly underrepresent older people.
Since the health predictions and diagnoses produced are based on data from younger people, they could miss the mark for older populations, it said.
The brief meanwhile stressed that there were true benefits to be gained from AI systems in the care of older people, including for remote monitoring of people susceptible to falls or other health emergencies. ...
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The following eight considerations could ensure that AI technologies for health address ageism and that older people are fully involved in the processes, systems, technologies and services that affect them.
- Participatory design of AI technologies by and with older people
- Age-diverse data science teams
- Age-inclusive data collection
- Investments in digital infrastructure and digital literacy for older people and their health-care providers and caregivers
- Rights of older people to consent and contest
- Governance frameworks and regulations to empower and work with older people
- Increased research to understand new uses of AI and how to avoid bias
- Robust ethics processes in the development and application of AI
