How Will You Put AI Behind Bars for Diagnosing Gender Before a Child’s Birth?
If detecting the gender before a child’s birth is a crime, then how will AI be put to justice?
Today, AI is widely used in healthcare. In health tech, AI can analyze complex medical data and help make a more accurate diagnosis, and develop innovative treatment protocols. Recently, researchers have developed AI algorithms to predict, as early as 48 weeks of pregnancy, the sex of a fetus from ultrasound images. Earlier, it was easier for an AI algorithm to determine the exact age of a baby, but not its gender before 48 weeks of an infant’s life. But gender classification has improved for all algorithms, suggesting gender differences in infancy.
AI Algorithm for Diagnosing Infants
Earlier, it was difficult for the AI algorithms to tell the difference between a newborn boy and a girl based solely on temperament characteristics like fear, smile, or laugh. As per new studies, ML analyzes temperament data on 4,438 babies in an attempt to classify the infants by gender and age. This study represents a meta-analysis utilizing Infant Behavior Questionnaire-Revised data collected across multiple laboratories to overcome the limitations of smaller samples in elucidating links between temperament, age, and gender in early childhood.
AI algorithms can now predict the sex of a baby as early as 48 weeks of pregnancy with 85% average reliability and up to 99% accuracy. AI algorithms determine the age of a baby than it is for them to decipher a baby’s gender-based off temperament characteristics data in the first 48 weeks of an infant’s life. This study leads infancy research and meta-scientific examinations all the more comprehensively toward another path as a strategic showing and furthermore gives the most ideal near information for the Infant Behavior Questionnaire-Revised in light of the biggest and most agent dataset to date.
Gestational age and fetal level are the two most significant elements for separating livebirth from stillbirth. Besides, medical clinic, area, conveyance primary driver, perinatal irregularity, unnatural birth cycle number, and maternal age are the main elements for arranging stillbirth previously and during conveyance. Well now the question arises when AI law enforcement and justice is being so prevalent, how would researchers and healthcare professionals expect us to support such an advanced form of technology to detect the gender of a child when we are still living in an era where female infanticide is still quite common?