As for AI animated images, the technology behind these Harry Potter-like photos is not particularly complex.
Users are invited to provide old photos of their loved ones, and the program uses deep learning to apply predetermined movements to their facial features. It also compensates with moments that do not appear in the original photo, such as revealing teeth or the side of the head. Together, it creates, if not a completely natural effect, as a deeply arresting effect.
We rely on perception and emotion
Fascinating – and yes, a little scary.
“Indeed, the results can be controversial and it is difficult to remain indifferent to this technology,” reads their FAQ page.
If it’s a beloved family member occupying that virtually-but-not-completely-space in reality, the parts of our brain that pose love and fear against each other, even though we know full well that what we’re looking at are not real .
“The way our brains process images of humans is different from inanimate objects. It affects neural circuits,” says Farid. “For years we have been able to synthesize inanimate objects, and this completely misleads the visual system because we do not have preconceived ideas about how they move. But when it comes to humans, it is lingering. Part of it is the subtle way we move and recognize these movements. ‘
AI relies on data and rules
This type of application has a similar kind of human connection to Deep Nostalgia. But the fact is that there is nothing human about artificial intelligence.
Farid is careful to point out that machine learning, which is what drives more available animation technologies like Deep Nostalgia, is a field in the larger world of artificial intelligence. Machine learns pores about data and finds patterns. Although a program can be improved with more input, there is no intelligence or analysis involved in applying these patterns.
There are many applications that benefit greatly from this type of data.
“If you predict the stock market, you want patterns,” Farid offers as an example. “Or to do cancer diagnoses. I do not have to understand at the moment why cancer arises, I just want to know if it does happen.”
When applied to more human activities, the lack of, well, intelligence appears.
The smiling faces of our ancestors, though touching, obviously do not hold up once we have given up our suspension of unbelief.
However, these inconsistencies will diminish as technology evolves, and Farid says the time has come for companies to look critically at their ethical implications.
“The technology sector has done things because it can and not because it has to,” he says. “We need to stop building things because it’s cool and start asking these difficult questions before it’s too late.”
Previously, technology says, it becomes so good that our emotions are able to dominate our keen senses of perception.
In the future, another program may be able to fill in these gaps, and we may see, hear, and talk to those we have long lost. Such technology presents incredible challenges to our safety and our sense of reality as we know it.
But if it smiles at us through the comforting faces of our loved ones, it will be much harder to resist.