Without universal AI literacy, AI will fail us – World Economic Forum

For example, facial analysis software has been recorded failing to recognize people with dark skin, showing a 1-in-3 failure rate when identifying darker-skinned females. Other AI tools have denied social security benefits to people with disabilities. These failings are due to bias in data and lack of diversity in the teams developing AI systems. According to the Forum’s 2021 Global Gender Gap report, only 32% of those in data and AI roles are women. In 2019, Bloomberg reported that less than 2% of technical employees at Google and Facebook were black. […]

We cannot leave the burden of AI responsibility and fairness on the technologists who design it. These tools affect us all, so they should be affected by us all — students, educators, non-profits, governments, parents, businesses. We need all hands on deck.