Mediaboss Marketing

WHO policy brief shares ways of preventing ageism and explains how to make AI technology more equitable.

Ageism is stereotyping and discriminating against individuals or groups based on their age, like job loss because of age. It can impact confidence, job prospects, financial situation, and quality of life. It can also include the way that how older people are represented in the media, public, etc, which can have a wider impact on the public attitude.

Ageism in AI is one new dimension to the ethics of AI. The WHO policy brief ageism in artificial intelligence for health examines the use of artificial intelligence in medicine and public health for older people. Its legal, non-legal, and technical measures can be used to minimize ageism in AI and maximize AIs benefits for older people. Ageism must be tackled to make sure that nobody loses out because of their age.

As AI technology plays a beneficial role, ageism must be identified and eliminated from AIs design, development, use, and evaluation. AI is a product of its algorithms, whose suggestions can draw ageist conclusions if the data that feeds the algorithms is skewed towards younger individuals. Like telehealth, tools used to predict illness or major health events in a patient, it could also provide inaccurate data for drug development.

When developing any AI technology, make sure you have older people participating in focus groups and in giving product feedback, like Adopt, an older adult-centered design process, which considers the disabled and aging population.

These elite data scientists form small teams that work directly, but diversity in hiring doesnt happen by simply wishing. Hire and train data scientists of all ages on your team. By including older employees, theyll be more likely to recognize and identify any forms of ageism in data collection or the products design.

Age-inclusive data collection is crucial for humanitarian response. When choosing demographic data to feed into AI algorithms as with other personal identifiers such as race or gender, make sure people of varying diversity are accounted for.

Investing in digital literacy and digital infrastructure can reap benefits in the form of increased transactions. After a product that incorporates artificial intelligence is developed, its important to invest in education and accessibility initiatives. This can help make older consumers and their health care providers more likely to benefit from technology.

Technology should benefit humans, not the other way around. Make sure that its easy and clear for older people to exercise their choice in participating in data collection or to provide any personal information.

The policy brief recommends various government agencies to help create frameworks and procedures to prevent ageism. It also lists private businesses to work within compliance with existing regulations.

With the rapid development and creation of new technologies, its important to keep researching and understanding how artificial intelligence can create new and unintended biases, in the form of choosing the right learning model for the problem, representative training data set, and monitoring performance using real data.

In the development and application of AI, its important to formalize processes like the ones above to maintain accountability in creating equitable and inclusive products.

Share This ArticleDo the sharing thingy

About AuthorMore info about author

Original post:
Ageism in Artificial Intelligence: Here are the Ways to Prevent it - Analytics Insight