Readers Split on AI Tools That Estimate Biological Age
Scientists are developing AI systems that estimate biological age, a measure meant to reflect how well the body is functioning and the risk of age-related diseases. In a Live Science reader poll, more than 170 people responded, with many saying they would use such results cautiously or find them useful. Comments, however, revealed substantial distrust of AI for this purpose.
Scientists are exploring artificial intelligence as a way to estimate biological age, which differs from calendar age by indicating how well bodily systems function. A higher estimate is linked with greater risk of conditions such as cancer or dementia. Some systems rely on epigenetic signals; others examine vocal qualities including pitch and tempo.
A Live Science reader survey drew more than 170 responses. Forty-four percent said they would treat results skeptically while still seeing possible value, and 23% called the information useful. Yet comments often expressed doubt, calls for further study, and worries about whether AI can deliver reliable truth.
Tools that estimate biological age could influence how adults interpret their health risks and aging, especially if offered in wellness or clinical settings. Clinicians may face questions about acting on uncertain results, while developers could see trust shaped by transparency and validation. Broader debates about AI reliability may also affect public willingness to adopt such tests. The story suggests that usefulness and skepticism can coexist, so impact may depend less on technical novelty than on how clearly limitations and evidence are communicated.