AI: The Ultimate Alibi

In an era already grappling with the erosion of objective truth, a new, more insidious specter is rising, openly embraced by figures of power: Artificial Intelligence as the ultimate alibi.

What began as a nascent concern among digital forensics experts is rapidly becoming a convenient shield for politicians seeking to deflect responsibility, a sophisticated successor to the now-familiar cry of “fake news.”

This tactic, known to analysts as “the liar’s dividend,” is transforming the landscape of accountability, threatening to render reality itself a negotiable concept.

The phenomenon found an unlikely, yet entirely predictable, champion this past week in former President Donald Trump.

When confronted with viral footage depicting an object being tossed from an upper-story White House window – a video his own press team had reportedly confirmed as authentic – Mr. Trump offered a dismissive, almost gleeful, response.

“No, that’s probably AI,” he declared, before doubling down on his newfound embrace of the technology as a scapegoat.

“If something happens that’s really bad,” he mused to reporters, “maybe I’ll have to just blame AI.”

This isn’t merely a casual remark; it’s an explicit endorsement of a strategy that leverages public skepticism and AI’s inherent, albeit evolving, capacity for error.

Unlike a human, AI cannot be sued, cannot leak information, and, crucially, cannot directly refute accusations.

Its very nature, a complex and often opaque black box, makes it an ideal, if inanimate, patsy.

The implications of such a widespread, uncritical embrace of AI as a catch-all excuse are profoundly unsettling.

Just hours before Mr. Trump’s pronouncement, Venezuelan Communications Minister Freddy Ñáñez employed a similar tactic.

He questioned the authenticity of a U.S. strike video, which the Trump administration claimed showed an attack on a Venezuelan gang vessel.

Ñáñez dismissed the footage, shared on Truth Social, as “almost cartoonish animation,” strongly implying AI generation.

Whether his claim held water or not, the message was clear: if a visual or auditory record is inconvenient, blame the algorithm.

Experts have been sounding the alarm for years.

Hany Farid, a digital forensics professor at the University of California, Berkeley, has long warned about the burgeoning capabilities of AI-driven deepfakes.

Yet, he argues, the technological threat pales in comparison to the philosophical one.

“I’ve always contended that the larger issue is that when you enter this world where anything can be fake, then nothing has to be real,” Farid explained.

“You get to deny any reality because all you have to say is, ‘It’s a deepfake.’”

This is a stark departure from a decade ago, when public figures like Mr. Trump himself (apologizing for the “Access Hollywood” tape) or Hillary Clinton (acknowledging error in her “basket of deplorables” comment) felt compelled to address inconvenient truths.

Toby Walsh, a chief scientist and AI professor at the University of New South Wales in Sydney, paints an even bleaker picture.

He warns that this trend is leading to “a dark future where we no longer hold politicians (or anyone else) accountable.”

The fundamental compact of public life, where being “caught on tape” meant owning one’s words or actions, is dissolving.

The concept of “the liar’s dividend” was presciently articulated in 2019 by Danielle K. Citron of Boston University School of Law and Robert Chesney of the University of Texas.

They wrote in the California Law Review that if “the public loses faith in what they hear and see and truth becomes a matter of opinion, then power flows to those whose opinions are most prominent—empowering authorities along the way.”

A skeptical public, they predicted, would be “primed to doubt the authenticity of real audio and video evidence.”

Their prophecy appears to be unfolding with chilling precision.

Public sentiment, while wary, may inadvertently contribute to this erosion of trust.

Recent polling from Pew Research Center (August 2024) indicates that about half of U.S. adults are “more concerned than excited” about AI’s increasing presence in daily life, a concern that has grown over time.

A Quinnipiac poll from April revealed that roughly three-quarters of U.S. adults trust AI-generated information only “some of the time” or “hardly ever.”

Crucially, about 6 in 10 expressed “very concerned” about political leaders using AI to disseminate fake or misleading information.

This inherent distrust, while rational, creates fertile ground for the liar’s dividend to flourish.

Mr. Trump, of course, has played a significant role in muddying the waters of truth long before AI became a household term.

His coining and widespread use of “fake news” as a pejorative against critical media reports set a precedent for discrediting inconvenient narratives.

Leslie Stahl of CBS’ “60 Minutes” famously recounted Mr. Trump telling her off camera in 2016 that he aims to “discredit” journalists precisely so their negative stories would be dismissed.

His recent AI blame is not an isolated incident.

In 2023, he accused the anti-Trump Lincoln Project of using AI in their “Feeble” video, which depicted him stumbling and questioned his “manhood.”

The Lincoln Project vehemently denied using AI, but the accusation itself served its purpose: to cast doubt on the video’s veracity and shift blame away from the content.

As AI technologies continue to advance, rendering deepfakes virtually indistinguishable from reality, the line between truth and fabrication will only blur further.

The open embrace of AI as a convenient scapegoat by those in power isn’t just a political tactic; it’s an existential threat to shared reality, accountability, and the very foundations of informed public discourse.

When the truth becomes a matter of opinion, and technology offers a ready-made excuse for any inconvenient reality, the consequences for democracy and trust are profound and potentially irreversible.