Scientists are increasingly turning to artificial intelligence to gauge biological age, a metric that reflects the functional state of a person’s bodily systems rather than mere chronological years. A higher biological age is associated with an elevated risk for age-related conditions such as dementia and cancer. While some of these AI models analyze epigenetic markers, others determine age by examining vocal characteristics like pitch and pace.
Following a request for reader opinions on whether to trust these AI-based measurements, more than 170 individuals responded. The largest segment, comprising 44% of voters, expressed conditional acceptance, stating they would treat the results with skepticism but still find them informative. An additional 23% offered a positive response, agreeing that the tools could provide valuable health data.
However, the written commentary often reflected deeper doubts. Several users voiced strong opposition to relying on AI for health decisions. One reader urged immediate rejection of the technology, warning, “NO!!! Unplug it !!! Heed the warnings!” Another commenter expressed that trusting AI with their life was inconceivable, arguing that the technology frequently operates beyond its intended programming.
Other participants emphasized the need for further scientific development before adopting these tools. One individual suggested waiting several years for genetic research to mature, noting that current results may become more accurate and meaningful over time. Another reader highlighted concerns regarding truth and accuracy, stating, “I won’t trust AI… with AI we would never know what the real truth is.” The publication invited further discussion on the topic in the comments section.
44% skepticism seems generous given how opaque these black-box algorithms are. I’m waiting years before trusting any AI with my health data.
I find it interesting that vocal analysis is used for age assessment. Would love to see more peer-reviewed studies validating those specific models.