Essays in the Category "AI and Large Language Models"

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How Artificial Intelligence Can Aid Democracy

  • Bruce Schneier, Henry Farrell, and Nathan E. Sanders
  • Slate
  • April 21, 2023

Hebrew Translation

There’s good reason to fear that A.I. systems like ChatGPT and GPT4 will harm democracy. Public debate may be overwhelmed by industrial quantities of autogenerated argument. People might fall down political rabbit holes, taken in by superficially convincing bullshit, or obsessed by folies à deux relationships with machine personalities that don’t really exist.

These risks may be the fallout of a world where businesses deploy poorly tested A.I. systems in a battle for market share, each hoping to establish a monopoly.

But dystopia isn’t the only possible future. A.I. could advance the public good, not private profit, and bolster democracy instead of undermining it. That would require an A.I. not under the control of a large tech monopoly, but rather developed by government and available to all citizens. This public option is within reach if we want it…

Brace Yourself for a Tidal Wave of ChatGPT Email Scams

Thanks to large language models, a single scammer can run hundreds or thousands of cons in parallel, night and day, in every language under the sun.

  • Bruce Schneier and Barath Raghavan
  • Wired
  • April 4, 2023

Here’s an experiment being run by undergraduate computer science students everywhere: Ask ChatGPT to generate phishing emails, and test whether these are better at persuading victims to respond or click on the link than the usual spam. It’s an interesting experiment, and the results are likely to vary wildly based on the details of the experiment.

But while it’s an easy experiment to run, it misses the real risk of large language models (LLMs) writing scam emails. Today’s human-run scams aren’t limited by the number of people who respond to the initial email contact. They’re limited by the labor-intensive process of persuading those people to send the scammer money. LLMs are about to change that. A decade ago, one type of spam email had become a punchline on every late-night show: “I am the son of the late king of Nigeria in need of your assistance …” Nearly everyone had gotten one or a thousand of those emails, to the point that it seemed everyone must have known they were scams…

How AI Could Write Our Laws

ChatGPT and other AIs could supercharge the influence of lobbyists—but only if we let them

  • Nathan E. Sanders & Bruce Schneier
  • MIT Technology Review
  • March 14, 2023

Nearly 90% of the multibillion-dollar federal lobbying apparatus in the United States serves corporate interests. In some cases, the objective of that money is obvious. Google pours millions into lobbying on bills related to antitrust regulation. Big energy companies expect action whenever there is a move to end drilling leases for federal lands, in exchange for the tens of millions they contribute to congressional reelection campaigns.

But lobbying strategies are not always so blunt, and the interests involved are not always so obvious. Consider, for example, a 2013 …

We Don’t Need to Reinvent Our Democracy to Save It from AI

  • Bruce Schneier and Nathan Sanders
  • Harvard Kennedy School Belfer Center
  • February 9, 2023

When is it time to start worrying about artificial intelligence interfering in our democracy? Maybe when an AI writes a letter to The New York Times opposing the regulation of its own technology.

That happened last month. And because the letter was responding to an essay we wrote, we’re starting to get worried. And while the technology can be regulated, the real solution lies in recognizing that the problem is human actors—and those we can do something about.

Our essay argued that the much heralded launch of the AI chatbot ChatGPT, a system that can generate text realistic enough to appear to be written by a human, poses significant threats to democratic processes. The ability to produce high quality political messaging quickly and at scale, if combined with AI-assisted capabilities to strategically target those messages to policymakers and the public, could become a powerful accelerant of an already sprawling and poorly constrained force in modern democratic life: lobbying…

How ChatGPT Hijacks Democracy

  • Nathan E. Sanders and Bruce Schneier
  • The New York Times
  • January 15, 2023

Launched just weeks ago, ChatGPT is already threatening to upend how we draft everyday communications like emails, college essays and myriad other forms of writing.

Created by the company OpenAI, ChatGPT is a chatbot that can automatically respond to written prompts in a manner that is sometimes eerily close to human.

But for all the consternation over the potential for humans to be replaced by machines in formats like poetry and sitcom scripts, a far greater threat looms: artificial intelligence replacing humans in the democratic processes—not through voting, but through lobbying…

‘Grassroots’ Bot Campaigns Are Coming. Governments Don’t Have a Plan to Stop Them.

Artificial intelligence software can easily pass for real public comments

  • Henry Farrell and Bruce Schneier
  • The Washington Post
  • May 20, 2021

This month, the New York state attorney general issued a report on a scheme by “U.S. Companies and Partisans [to] Hack Democracy.” This wasn’t another attempt by Republicans to make it harder for Black people and urban residents to vote. It was a concerted attack on another core element of U.S. democracy—the ability of citizens to express their voice to their political representatives. And it was carried out by generating millions of fake comments and fake emails purporting to come from real citizens.

This attack was detected because it was relatively crude. But artificial intelligence technologies are making it possible to generate genuine-seeming comments at scale, drowning out the voices of real citizens in a tidal wave of fake ones…

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Sidebar photo of Bruce Schneier by Joe MacInnis.