“Technology reflects its creators. Digital access gaps mean women produce less data than men, and a lack of data disaggregation leads to unequal representation in data sets. This has major downstream effects on machine learning and AI enabled service delivery. A global analysis of 133 AI systems from 1988 to today found that 44.2 per cent displayed gender bias, with 25.7 per cent exhibiting both gender and racial bias—which led to lower service quality, unequal resource distribution and the reinforcement of harmful stereotypes.”

Power on: How we can supercharge an equitable digital future

#IWD2023 #PowerOn