Ari Abelson is co-founder of OpenOrigins, and is a national leader in the movement toward media authenticity. She’s shared strong fears regarding the rapid expansion of AI-generated content. The reality, he insists, is that developing reliable verification systems will be essential for journalism, cultural heritage institutions, and today’s information ecosystem to thrive. This urgency comes as AI development reaches a new and rapid acceleration. It’s really happening at a pace that’s quicker than anyone expected.
Abelson received a Master of Science from the London School of Economics. He has been busy strengthening his skills and knowledge through engagements with organizations such as Moonshot CVE and the London School of Hygiene & Tropical Medicine (LSHTM). His previous work has involved collaborations in research projects for the Ministry of Defence and Facebook. For the last 10 years, he’s inspired startups to develop powerful growth and community strategies. His creative concepts have made him undoubtedly one of the leading visionary voices for media authenticity.
Yet in today’s digital ecosystem, our ability to tell the difference between what’s real and what’s created is fading. Abelson warns that fabricated videos depicting political leaders could exacerbate geopolitical tensions if they circulate widely before verification processes can debunk them.
“By the end of this year—and certainly heading into 2027—I believe humans will essentially lose the ability to reliably tell the difference between AI-generated media and real human content,” he said.
The implications of this shift are profound. Abelson argues that AI-generated content can serve creative purposes akin to cartoons or fictional storytelling, but its potential for misuse raises alarms. And he argues, as I have, that as AI technology continues to improve, it will be harder and harder to tell what’s real and what’s fake.
As if scrolling through social media wasn’t difficult enough. AI is making it dangerously difficult to distinguish between human-created and AI-generated content. Abelson noted. The latter is increasingly becoming true for images and video.
Now that AI is reshaping the internet’s visual countryside, Abelson touts the importance of verification systems. He argues passionately for the need of these systems. Users need to quickly tell at a glance if an image or video can be traced back to a verifiable source or if it’s potentially synthetic.
“Ultimately, the goal is that when someone encounters an image or video online,” he said, “they can check whether it has a verifiable origin point or whether it may be synthetic.”
Abelson’s take points to an interesting crossroads in the development of how we consume media. Changes are occurring at lightning speed. At the same time, the public’s understanding about what constitutes authentic content is at risk.
“I think things are moving incredibly fast. Faster than anyone could reasonably predict,” Abelson remarked. “Interesting, not always in the ways that are being publicly emphasized.”
His insights suggest that individuals may soon find themselves navigating a world where distinguishing reality from fiction in digital media becomes nearly impossible. The burgeoning capability to generate complex media forms quickly raises important ethical questions about authenticity and trust in the information presented online.
“AI can be an incredible creative tool,” he said. “Someone could generate a full music video based on an idea they had in a dream within seconds.”
Abelson’s current work at OpenOrigins focuses on the touchstone challenges to tackle them directly. He’s calling for action now, to protect media authenticity so that we can ensure it’s preserved for future generations. Strong voter verification systems are the key. Only then will they fulfill their mission of protecting the value of truth in a media-saturated, digital world.
