#DeepFakes – Nina Schick
#Monoray
As a child I loathed the December holidays – and the irony of the timing of my confession does not escape me. The gifts were lovely, as was the annual reunion with the cousins, but the inevitable “You have grown so much” was an irritation. It made no sense; I was a kid; did they expect me to remain small forever?
With the benefit of hindsight, I have learnt that growth is indeed a constant process, but for those not witnessing the gradual steps, the change seems extraordinary and sudden. It is as true in respect of the development of artificial intelligence and synthetic media. The publication of books like How not to mess up online (Sadleir & Wilson, Penguin 2025) are wake-up calls to the dangers and pitfalls of social media and artificial intelligence and raise the question: how did we arrive at this point?
Deep Fakes, published in 2020, largely answers this question. The intention of the author was to prepare readers for what was to come. Her predictions, at the time sounding like an alarmist promoting a conspiracy theory, have come true. Statistics in her book may now be dated, but the principles and the history remain valid.
Deep fakes replaced cheap fakes. The latter was relatively easy to identify as either altered, or completely fake. Deep fakes are not. You may now find images of yourself saying and doing things that you have never said or done. Awareness thereof is increasing, but the negative consequence is that it provides plausible deniability. We seem to be reverting to following the example of the Biblical Thomas by necessity, to not believe anything unless we have physically seen it, no longer relying on images.
It is an oversimplification, but, for the sake of argument, deep learning – artificial intelligence ‘learning’ in a fashion like the human brain forming neural pathways – originated in an idea attributed to one Ian Goodfellow, the designer of a deep-learning system named GAN. The principle was simple: set up two deep-learning systems against each other, the one generating new information, and the other tasked to detect it. Much like robbing Peter to pay Paul. The alarming consequence, naturally, is that the detection becomes harder. And we are compelled the face the reality that no one is guarding the guards.
Schick includes several historical facts that may easily have been the plots of science fiction, such as the doctoring of photographs under Stalin’s dictatorship, Operations Infektion, Lakhta, and Double Deceit, Pizzagate, and others echoing across the globe as wide as India, Ghana, Iran, Gabon, North Korea and Estonia. Disinformation and misinformation in disguises previously regarded as credible form the essence of the infocalypse.
It becomes undeniable that anyone may be the next potential target, or, at least, collateral damage. Seeing is no longer believing, but knowledge remains power.
#uitdieperdsebek