Poll Asks Whether People Would Use AI Aging Clocks
Scientists have created AI-driven aging clocks that estimate biological age using data such as epigenetic markers or voice characteristics. Some researchers argue the tools are not yet reliable for guiding individual health choices, even if they are useful for population studies. The article invites readers to say whether they would use such a test.
Aging clocks use AI to estimate biological rather than chronological age. The latter counts years lived; the former is meant to show how well body systems work. A higher biological age is linked with greater risk of cancer, heart disease, and dementia, while a lower one suggests less risk. Some tools also try to forecast near-term mortality risk.
The technologies rely on varied inputs. Many examine epigenetic tags that attach to DNA and influence gene activity; others analyze vocal pace and pitch. Researchers disagree about readiness: some see value for population research but not individual guidance, and others warn the data may be noisy or unclear about causes versus effects. No proven treatment currently reverses these clocks.
If adopted, AI aging clocks could shape how people interpret health and aging, perhaps prompting preventive habits or anxiety. They may interest wellness consumers, clinicians, researchers, and insurers, though current uncertainty limits responsible individual use. Wider uptake could influence research priorities and preventive care, but may also create pressure to act on noisy estimates. Access could bring population-level insights to some while leaving others confused or falsely reassured.