Latest Essays

The Hacking of Culture and the Creation of Socio-Technical Debt

  • Kim Córdova and Bruce Schneier
  • e-flux
  • June 18, 2024

Culture is increasingly mediated through algorithms. These algorithms have splintered the organization of culture, a result of states and tech companies vying for influence over mass audiences. One byproduct of this splintering is a shift from imperfect but broad cultural narratives to a proliferation of niche groups, who are defined by ideology or aesthetics instead of nationality or geography. This change reflects a material shift in the relationship between collective identity and power, and illustrates how states no longer have exclusive domain over either. Today, both power and culture are increasingly corporate…

Using AI for Political Polling

Will AI-assisted polls soon replace more traditional techniques?

  • Aaron Berger, Bruce Schneier, Eric Gong, and Nathan Sanders
  • Harvard Kennedy School Ash Center
  • June 11, 2024

Public polling is a critical function of modern political campaigns and movements, but it isn’t what it once was. Recent US election cycles have produced copious postmortems explaining both the successes and the flaws of public polling. There are two main reasons polling fails.

First, nonresponse has skyrocketed. It’s radically harder to reach people than it used to be. Few people fill out surveys that come in the mail anymore. Few people answer their phone when a stranger calls. Pew Research reported that 36% of the people they called in 1997 would talk to them, but only 6% by 2018. Pollsters worldwide have faced similar challenges…

Indian Election Was Awash in Deepfakes—but AI Was a Net Positive for Democracy

  • Vandinika Shukla and Bruce Schneier
  • The Conversation
  • June 7, 2024

This essay also appeared in Channel News Asia and PBS News.

As India concluded the world’s largest election on June 5, 2024, with over 640 million votes counted, observers could assess how the various parties and factions used artificial intelligence technologies—and what lessons that holds for the rest of the world.

The campaigns made extensive use of AI, including deepfake impersonations of candidates, celebrities and dead politicians. By some estimates, millions of Indian voters viewed deepfakes.

But, despite fears of widespread disinformation, for …

How Online Privacy Is Like Fishing

In the wake of a Microsoft spying controversy, it’s time for an ecosystem perspective

  • Barath Raghavan and Bruce Schneier
  • IEEE Spectrum
  • June 4, 2024

German translation

Microsoft recently caught state-backed hackers using its generative AI tools to help with their attacks. In the security community, the immediate questions weren’t about how hackers were using the tools (that was utterly predictable), but about how Microsoft figured it out. The natural conclusion was that Microsoft was spying on its AI users, looking for harmful hackers at work.

Some pushed back at characterizing Microsoft’s actions as “spying.” Of course cloud service providers monitor what users are doing. And because we expect Microsoft to be doing something like this, it’s not fair to call it spying…

How AI Will Change Democracy

Artificial intelligence is coming for our democratic politics, from how politicians campaign to how the legal system functions.

  • Cyberscoop
  • May 28, 2024

This article is adapted from a keynote speech delivered at the RSA Conference in San Francisco on May 7, 2024.

I don’t think it’s an exaggeration to predict that artificial intelligence will affect every aspect of our society. Not by doing new things. But mostly by doing things that are already being done by humans, perfectly competently.

Replacing humans with AIs isn’t necessarily interesting. But when an AI takes over a human task, the task changes.

In particular, there are potential changes over four dimensions: Speed, scale, scope and sophistication. The problem with AIs trading stocks isn’t that they’re better than humans—it’s that they’re faster. But computers are better at chess and Go because they use more sophisticated strategies than humans. We’re worried about AI-controlled social media accounts because they operate on a superhuman scale…

Seeing Like a Data Structure

  • Barath Raghavan and Bruce Schneier
  • Harvard Kennedy School Belfer Center
  • May 25, 2024

Technology was once simply a tool—and a small one at that—used to amplify human intent and capacity. That was the story of the industrial revolution: we could control nature and build large, complex human societies, and the more we employed and mastered technology, the better things got. We don’t live in that world anymore. Not only has technology become entangled with the structure of society, but we also can no longer see the world around us without it. The separation is gone, and the control we thought we once had has revealed itself as a mirage. We’re in a transitional period of history right now…

Lattice-Based Cryptosystems and Quantum Cryptanalysis

Quantum computers are probably coming—and when they arrive, they will, most likely, be able to break our standard public-key cryptography algorithms.

  • Communications of the ACM
  • May 25, 2024

Quantum computers are probably coming, though we don’t know when—and when they arrive, they will, most likely, be able to break our standard public-key cryptography algorithms. In anticipation of this possibility, cryptographers have been working on quantum-resistant public-key algorithms. The National Institute for Standards and Technology (NIST) has been hosting a competition since 2017, and there already are several proposed standards. Most of these are based on lattice problems.

The mathematics of lattice cryptography revolve around combining sets of vectors—that’s the lattice—in a multi-dimensional space. These lattices are filled with multi-dimensional periodicities. The …

LLMs’ Data-Control Path Insecurity

Someday, some AI researcher will figure out how to separate the data and control paths. Until then, we’re going to have to think carefully about using LLMs in potentially adversarial situations—like on the Internet.

  • Communications of the ACM
  • May 12, 2024

Back in the 1960s, if you played a 2,600Hz tone into an AT&T pay phone, you could make calls without paying. A phone hacker named John Draper noticed that the plastic whistle that came free in a box of Captain Crunch cereal worked to make the right sound. That became his hacker name, and everyone who knew the trick made free pay-phone calls.

There were all sorts of related hacks, such as faking the tones that signaled coins dropping into a pay phone and faking tones used by repair equipment. AT&T could sometimes change the signaling tones, make them more complicated, or try to keep them secret. But the general class of exploit was impossible to fix because the problem was general: Data and control used the same channel. That is, the commands that told the phone switch what to do were sent along the same path as voices…

AI and Trust

  • The Herald Business
  • April 30, 2024

This essay appeared in both English and Korean. The Korean version is available as a PDF.

Trust is essential to society. We trust that our phones will wake us on time, that our food is safe to eat, that other drivers on the road won‘t ram us. We trust many thousands of times a day. Society can’t function without it. And that we don‘t even think about it is a measure of how well it all works.

Trust is a complicated concept, and the word has many meanings. When we say that we trust a friend, it is less about their specific actions and more about them as a person. We trust their intentions, and know that those intentions will inform their actions. This is “interpersonal trust.”…

It’s the End of the Web as We Know It

A great public resource is at risk of being destroyed.

  • Judith Donath and Bruce Schneier
  • The Atlantic
  • April 24, 2024

The web has become so interwoven with everyday life that it is easy to forget what an extraordinary accomplishment and treasure it is. In just a few decades, much of human knowledge has been collectively written up and made available to anyone with an internet connection.

But all of this is coming to an end. The advent of AI threatens to destroy the complex online ecosystem that allows writers, artists, and other creators to reach human audiences.

To understand why, you must understand publishing. Its core task is to connect writers to an audience. Publishers work as gatekeepers, filtering candidates and then amplifying the chosen ones. Hoping to be selected, writers shape their work in various ways. This article might be written very differently in an academic publication, for example, and publishing it here entailed pitching an editor, revising multiple drafts for style and focus, and so on…

Sidebar photo of Bruce Schneier by Joe MacInnis.