Using technology to address gender bias in film | Google
Machine learning helps identify gender in movies and reveals new information about gender inequality in highest grossing films and Oscar winning films.
This is FASCINATING and important - made in conjunction with The Geena Davis Institute on Gender in Media - CHECK IT OUT!
The GD-IQ and how it works
“Dubbed the Geena Davis Inclusion Quotient (GD-IQ), the tool not only can identify a character’s gender, but it knew to a fraction of a second how long each actor spoke, and were on-screen. “This was revolutionary,” says Davis. “No one’s been able to do that before with any accuracy.” And GD-IQ works fast; what once took months to measure can now be quantified in real time.
GD-IQ uses machine learning to recognize patterns the casual movie viewer might overlook. To do this, the engineers didn’t provide the computer with a template or a set of hand crafted rules; Instead the machines were programmed to “learn” from examples that were annotated with the correct answer. This automated process ensures that the technology improves its own understanding over time. The tool learned to detect different characters on-screen, determine their gender, and calculate how often and for how long they spoke in relation to one another.”
How can this technology change things?
“The Geena Davis Institute on Gender in Media unveiled preliminary GD-IQ findings to producers, executives, screenwriters, and actors last year. The numbers were sobering reminders of the power of unconscious bias. “Over the past decade, we’ve developed meaningful relationships with many motion picture studios who genuinely want to improve gender balance in their movies,” says Madeline Di Nonno, CEO of the Geena Davis Institute. “Many of them are very interested in using the GD-IQ to analyze other content, like television.”
For those filmmakers dedicated to putting women at the heart of the story, there is good news.””