Q: We’ve seen a massive surge in synthetic media recently. How has this changed the way state actors approach information warfare?

It has shifted the cost-benefit analysis entirely. Traditionally, influence operations were expensive, time-consuming, and required significant human intelligence. Now, generative AI allows for the rapid, scalable production of hyper-realistic content. It’s a cost-effective way to destabilize a region without firing a single kinetic shot^[2].

Q: The U.S. intelligence community has specifically highlighted Russia's role in this. What are we seeing on the ground?

The 2024 assessment from the ODNI confirms that state actors are utilizing these tools to influence both domestic discourse and global perceptions of the war in Ukraine^[1]. We aren’t just talking about bots on social media; we’re talking about sophisticated synthetic media, including deepfake surrender videos of high-ranking officials, designed to demoralize populations and sow chaos in the command structure^[2].

Q: You’ve spoken about "epistemic security." What does that term mean in this context?

Epistemic security is the collective ability of a society to agree on a shared reality. When you flood the information ecosystem with synthetic media, you erode that security. It’s not just about fooling people; it’s about creating a state of permanent confusion where legitimate media sources are viewed with the same skepticism as state-sponsored propaganda^[2].

Q: There is a concept called the "liar’s dividend." How does that complicate the work of journalists and investigators?

It’s perhaps the most insidious effect of this technology. The liar’s dividend occurs when bad actors can dismiss genuine, incriminating evidence by simply claiming it is AI-generated. It gives them a "get out of jail free" card for reality itself. When everything can be fake, nothing has to be true^[4].

Q: Dr. Nina Schick famously noted that the danger isn't just believing the lie, but ceasing to believe the truth. How do we combat that kind of nihilism?

That is the core challenge^[4]. If we respond with heavy-handed regulation, we risk stifling the very innovation needed to build detection tools. If we respond with mass public awareness campaigns, we risk "information fatigue," where citizens simply disengage from the news entirely because they feel they can no longer discern what is real.

Q: Is there a middle ground between total censorship and total exposure?

We need to move toward a model of digital provenance—cryptographically signing authentic media at the point of capture. However, that requires global cooperation, which is difficult when the very actors causing the problem are the ones who would need to agree to these standards^[1].

Q: What is the primary risk as we head into future election cycles and geopolitical crises?

The speed of deployment. AI can generate a narrative-shifting video in minutes. By the time a fact-check is published, the video has already been viewed millions of times. The "first-mover advantage" in the information space is currently held by the disinformation peddlers^[3].

Q: Looking ahead, how do we protect the average citizen from being manipulated?

We have to shift our focus from teaching people "how to spot a deepfake"—which is becoming technically i