| 5 hours ago
A new PSA is using artificial intelligence to challenge people’s perceptions of hunger as a problem faced only by those living on the streets or in distant, underdeveloped countries. Instead, advocates say, hunger afflicts 37 million Americans, in the kinds of families you see around you each day.
Relief group Feeding America teamed up with agency Leo Burnett and the Ad Council to create a virtual visage based on the faces of 1,000 hunger-afflicted Americans. These photos reflected the actual demographics seen in USDA food security data. The creative team then used visual effects tools to overlay that composite face onto a real person, engineering a passably realistic-looking spokeswoman for the issue.
“We found that people tend to think of hunger in stereotypes, such as images of the homeless or third-world countries,” Leo Burnett senior art director Daniel Jaramillo told Adweek. “In reality, hunger is much closer to home, affecting 1 in 8 Americans.”
The campaign is set to include television and radio spots as well as print, outdoor and digital ads made available through tens of millions of dollars worth of donated space from the Ad Council’s network of media partners.
To create the face, the agency used a generative adversarial network, or GAN, a cutting-edge form of machine learning in which one neural network hones artificial images until another can no longer tell the difference between them and real-life photos.
Read more here: https://www.adweek.com/creativity/an-ai-created-this-portrait-of-hunger-in-america-by-analyzing-1000-people-in-need/