Way back in 1992, NASA administrator Daniel Goldin described the organization as “pale, male and stale”, a derisive commentary on the lack of race, gender and age/tenure diversity within the United States’ premier science agency. Fast forward to 2018 and most tech industries still suffer from at least two of these symptoms.
In fact, the problem may even be worsening over time. The number of women going into computer science—an obvious key ingredient in AI and ML—has decreased by half since 1985 reported Jaxenter earlier this year, and this survey found that the presence of females in top AI/ML positions is a mere 18%.
Here is the ever-growing selection of featured women in artificial intelligence: