New research published in Computers in Human Behavior Reports suggests that efforts to make artificial intelligence more inclusive can sometimes create unexpected new biases. The scientists found that popular artificial intelligence models tend to overattribute stereotypically masculine behaviors to female characters and judge violence against women as significantly more objectionable than violence against men. These findings provide evidence that programming models to be sensitive to gender equity might accidentally introduce extreme ethical inconsistencies. Scientists initiated this research to better understand how artificial intelligence systems handle gender and morality after their initial training. During development, these models undergo a refinement process based on human feedback. This process involves human reviewers grading the system’s answers to teach it preferred behaviors, like avoiding offensive language or promoting inclusivity. The scientists suspected that this human feedback phase might teach the models to be highly sensitive to specific cultural priorities. Specifically, they thought the models might focus heavily on including women in traditionally male spaces and protecting women from harm. “There has been a growing public debate about whether AI …