Skip to content
Search

Latest Stories

Follow Us:
Top Stories

Elections workers must wake up to the risks posed by AI

Opinion

Road sign that says "AI Ahead"
Bill Oxford/Getty Images

Sikora is a research assistant with the German Marshall Fund's Alliance for Securing Democracy. Gorman is the alliance’s senior fellow and head of the technology and geopolitics team; Levine is the senior elections integrity fellow.

Days before New Hampshire’s presidential primary, up to 25,000 Granite State voters received a mysterious call from “President Joe Biden.” He urged Democrats not to vote in the primary because it “only enables the Republicans in their quest to elect Donald Trump.” But Biden never said this. The recording was a digital fabrication generated by artificial intelligence.

This robocall incident is the highest-profile example of how AI could be weaponized to both disrupt and undermine this year’s presidential election, but it is merely a glimpse of the challenges election officials will confront. Election workers must be well-equipped to counter AI threats to ensure the integrity of this year’s election — and our organization, the Alliance for Securing Democracy at the German Marshall Fund of the United States, published a handbook to help them understand and defend against threats supercharged by AI.


Generative AI tools allow users to clone audio of anyone’s voice (saying nearly anything), produce photo-realistic images of anybody (doing nearly anything), and automate human-like writing without spelling errors or grammatical mistakes (in nearly any language). The widespread accessibility of these tools offers malign actors at home and abroad a new, low-cost weapon to launch sophisticated phishing attacks targeting election workers or to flood social media platforms with false or manipulated information that looks real. These tactics do not even need to be successful to sow discord; the mere perception that an attack occurred could cause widespread damage to Americans’ trust in the election.

These advancements come at a time when trust in U.S. elections is already alarmingly low. Less than half of Americans express substantial confidence that the votes in the 2024 presidential election will be counted accurately, with particular distrust among GOP voters. On top of that, election workers continue to face harassment, high-turnover, and onerous working environments often stemming from lies about election subterfuge. In an age of AI-driven manipulated information, the ability to readily fabricate images, audio and video to support election denialist narratives risks lending credence to — or at least creating further confusion around — such claims and inspiring real-world action that undermines elections.

What should election workers do to prepare for these threats? First, election officials need to incorporate AI risks into their election training and planning. Given election hazards old and new that AI can enable, it is necessary that election workers know the basics of what they are up against, can communicate to voters about AI challenges and are well-resourced to educate themselves further on these threats. To this end, election offices should consider forming a cybersecurity working group with AI expertise, adding AI-specific education to election worker training, and drafting talking points on AI. Likewise, simulating AI threats in mock elections or tabletop exercises could be invaluable in helping election officials plan responses to such threats.

Second, with hackers increasingly exploiting AI tools for cyberattacks, election officials have to double down on cybersecurity. Basic cybersecurity hygiene practices — such as enforcing user multi-factor authentication or using strong passwords like passphrases — can help protect against the vast majority of attacks. Unfortunately, however, many election jurisdictions are still well behind in implementing these simple protocols. Moreover, in the runup to the 2020 election, the FBI identified numerous fake election websites imitating federal and state elections sources using .com or .org domains. With generative AI increasingly able to produce realistic fake images and even web pages, .gov web addresses will become clear identifiers of authenticity and trust.

Finally, election officials should consider leveraging the responsible use of AI and other new technologies in their offices. Just as AI offers malign actors tools to undermine elections, the technology offers election officials instruments to ease operational burdens or even help them better defend our elections. Election offices can turn to generative AI to help with time-consuming tasks like drafting emails to prospective poll workers or populating spreadsheets with assignments. But before election workers rush to embrace AI technology, jurisdictions must create guidelines for their use, such as requiring robust human oversight. Likewise, election offices could consider piloting content provenance technologies that companies like OpenAI, Meta, and Google are already adopting; these technologies can help voters discern whether content from election offices is authentic.

This year’s presidential race will no doubt be a pivotal election. The proliferation of accessible AI technology will both magnify and ease malign actors’ abilities to push false election narratives and breach electoral systems. It is vital that the United States fortify its elections against threats that AI exacerbates. This starts with ensuring that election workers on the frontlines of democracy are equipped to meet these challenges.


Read More

Digital generated image of green semi transparent AI word on white circuit board visualizing smart technology.

What can the success of SEMATECH teach us about winning the AI race? Explore how a bold U.S. public-private partnership revived the semiconductor industry—and why a similar model could be key to advancing AI innovation today.

Getty Images, Andriy Onufriyenko

A Proven Playbook for AI Leadership: Lessons from America’s Chip Comeback

Imagine waking up to this paragraph in your favorite newspaper:

The willingness of the U.S. government to eschew partisanship and undertake a bold experiment -- an experiment based on cooperation as opposed to traditional procurement, and with accountability standards rooted in trust instead of elaborate regulations -- has led the U.S. to a position of preeminence in an industry which is vital to our nation's security and economic well-being.

Keep ReadingShow less
A large group of people is depicted while invisible systems actively scan and analyze individuals within the crowd

Anthropic’s lawsuit against the Trump administration over a Pentagon “supply-chain risk” label raises major constitutional questions about AI policy, corporate speech, and political retaliation.

Getty Images, Flavio Coelho

Anthropic Sues Trump Over ‘Unlawful’ AI Retaliation

Anthropic’s dispute with the Trump administration is no longer just about AI policy; it has escalated into a constitutional test of whether American companies can uphold their values against political retaliation. After the administration labeled Anthropic a “supply‑chain risk”, a designation historically reserved for foreign adversaries, and ordered federal agencies to cease using its technology, the company did not yield. Instead, Anthropic filed two lawsuits: one in the Northern District of California and another in the D.C. Circuit, each challenging different aspects of the government’s actions and calling them “unprecedented and unlawful.”

The Pentagon has now formally issued the supply‑chain risk designation, triggering immediate cancellations of federal contracts and jeopardizing “hundreds of millions of dollars” in near‑term revenue. Anthropic’s filings describe the losses as “unrecoverable,” with reputational damage compounding the financial harm. Yet even as the government blacklists the company, the Pentagon continues using Claude in classified systems because the model is deeply embedded in wartime workflows. This contradiction underscores the political nature of the designation: a tool deemed too “dangerous” to be used by federal agencies is simultaneously indispensable in active military operations.

Keep ReadingShow less
An illustration of a person standing on a giant robotic hand.

As AI transforms the labor market, the U.S. faces a familiar challenge: preparing workers for new skills. A look at a 1991 Labor Department report reveals striking parallels.

Getty Images, Andriy Onufriyenko

We’ve Been "Preparing" for the Future Since 1991—It Hasn't Worked

“Today, the demands on business and workers are different. Firms must meet world-class standards, and so must workers. Employers seek adaptability and the ability to learn and work in teams.”

Sound familiar?

Keep ReadingShow less
News control room
Not news to many: Our polarized view of news brands is only intensifying
Not news to many: Our polarized view of news brands is only intensifying

Non‑Partisan Doesn’t Mean Unbiased: Why America Keeps Getting This Wrong

For as long as I’ve worked in democracy reform, I’ve watched people use non‑partisan and non‑biased as if they meant the same thing. They don’t. This confusion has distorted how Americans judge the credibility of the democracy reform movement, journalists, and even one another. We have created an impossible expectation that anyone who claims to be non‑partisan must also be free of bias.

Non‑partisanship, at its core, is not taking sides in political debates or endorsing a party, candidate, or ideology. It creates space for fair, balanced dialogue accessible to multiple perspectives. Nonpartisan environments encourage discussion and explanation of various viewpoints.

Keep ReadingShow less