This is in line with the recent World Health Organization policy stating that A.I. Older people may not be represented in health care. A.I. Its algorithm is a product of, sums up, and can draw age conclusions if the data feeding the algorithm is skewed toward younger individuals. it can affect,
For example, telehealth tools used to predict illness or major health events in a patient. It can also provide inaccurate data for drug development. Ultimately, not involving older adults in the development process for AI. Getting them to adopt new AI could make it difficult. future application.
“To ensure that AI technologies play a beneficial role, ageism must be recognized and eliminated from their design, development, use and evaluation,” Alana Adhikari, Unit Head, Demographic Change and Healthy Aging, WHO, reports Writes in summary. , He said that society’s prejudices are often replicated in AI.
Involve older consumers in the design of AI. technologies.
When developing any AI. technology, make sure you have older people participating in any focus groups and giving product feedback.
Hire age-diverse individuals for data science teams.
Hire and train data scientists of all ages on your team. By including older employees, they are more likely to spot and identify any ageism in data collection or product design.
Conduct age-inclusive data collection.
When choosing demographic data to feed into AI, algorithms—as with other personal identifiers like race or gender—make sure people of varying diversity are accounted for.
Invest in digital infrastructure and digital literacy.
After a product in which A.I. has been developed, it is important to invest in education and accessibility initiatives. This could help make older consumers – and their health care providers – more likely to benefit from the technology.
Give old consumers the right to consent and contest.
Technology should benefit humans, not the other way around. Make sure it is easy and clear for older people to exercise their choice to participate in data collection or provide any personal information.
Work with the governance framework and regulations.
The policy brief recommends various government agencies to help create frameworks and processes to prevent ageism. It also enlists private businesses to work on compliance with existing regulations.
Stay up to date on new uses of AI. and how to avoid bias.
With the rapid development and creation of new technologies, it is important to research and understand how A.I. Can create new and unexpected biases.
Build strong ethical processes.
In the development and application of AI, it is important to formalize processes such as those above to maintain accountability in creating equitable and inclusive products.