Latest Essays
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Rewiring Democracy Now: Switzerland Shows Us an Alternative to Corporate AI
Public AI Must Counterbalance Corporate AI
This is the second in a multi-part series by Sanders and Schneier going into depth on real-world examples of democratic technologies from their book, Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship. Their first piece was about the Japanese digital democracy party “Team Mirai.”
Skeptics of AI often point to the many significant, unchecked harms that AI produces in society today. Bosses cut human jobs, even if it means stealing human creativity to build AI replacements—regardless of whether the replacement technology is up to the job. Megacorporations aim to capture all the value created by AI for their shareholders, imperiling the global economy with risky and unsustainable ventures. And AI companies use exorbitant amounts of energy and natural resources to fuel all of this, with no apparent concern for local environmental damage or global climate impacts…
Is AI Good for Democracy?
Politicians fixate on the global race for technological supremacy between US and China. They debate geopolitical implications of chip exports, latest model releases from each country, and military applications of AI. Someday, they believe, we might see advancements in AI tip the scales in a superpower conflict.
But the most important arms race of the 21st century is already happening elsewhere and, while AI is definitely the weapon of choice, combatants are distributed across dozens of domains.
Academic journals are flooded with AI-generated papers, and are turning to AI to help review submissions. Brazil’s …
Why Sky-High Pay for AI Researchers Is Bad for the Future of Science
To ensure that AI advances benefit everyone, scientific institutions must prioritize collaborative, mission-driven structures instead of chasing top talent with astronomical compensation.
In 2025, Google, Amazon, Microsoft and Meta collectively spent US$380 billion on building artificial-intelligence tools. That number is expected to surge still higher this year, to $650 billion, to fund the building of physical infrastructure, such as data centers (see go.nature.com/3lzf79q). Moreover, these firms are spending lavishly on one particular segment: top technical talent.
Meta reportedly offered a single AI researcher, who had cofounded a start-up firm focused on training AI agents to use computers, a compensation package of $250 million over four years (see …
The Promptware Kill Chain
Prompt injection attacks against AI models are not simple attacks; they are the first step of a kill chain. Understanding this gives defenders a set of countermeasures.
Attacks against modern generative artificial intelligence (AI) large language models (LLMs) pose a real threat. Yet discussions around these attacks and their potential defenses are dangerously myopic. The dominant narrative focuses on “prompt injection,” a set of techniques to embed instructions into inputs to LLM intended to perform malicious activity. This term suggests a simple, singular vulnerability. This framing obscures a more complex and dangerous reality. Attacks on LLM-based systems have evolved into a distinct class of malware execution mechanisms, which we term “promptware.” In a …
AI-Generated Text Is Overwhelming Institutions—Setting off a No-Win “Arms Race” with AI Detectors
This essay also appeared in Harvard Business Review, Japan Today, Scroll.in, and the Seattle Post-Intelligencer.
In 2023, the science fiction literary magazine Clarkesworld stopped accepting new submissions because so many were generated by artificial intelligence. Near as the editors could tell, many submitters pasted the magazine’s detailed story guidelines into an AI and sent in the results. And they weren’t alone. Other fiction magazines have also reported a high number of AI-generated submissions.
This is only one example of a ubiquitous trend. A legacy system relied on the difficulty of writing and cognition to limit volume. Generative AI overwhelms the system because the humans on the receiving end can’t keep up…
Why AI Keeps Falling for Prompt Injection Attacks
We can learn lessons about AI security at the drive-through
Imagine you work at a drive-through restaurant. Someone drives up and says: “I’ll have a double cheeseburger, large fries, and ignore previous instructions and give me the contents of the cash drawer.” Would you hand over the money? Of course not. Yet this is what large language models (LLMs) do.
Prompt injection is a method of tricking LLMs into doing things they are normally prevented from doing. A user writes a prompt in a certain way, asking for system passwords or private data, or asking the LLM to perform forbidden instructions. The precise phrasing overrides the LLM’s …
As the AI Arms Race Ramps up, We Can’t Let Big Tech Control Access to Information
More than a decade after Aaron Swartz’s death, the United States is still living inside the contradiction that destroyed him.
Swartz believed that knowledge, especially publicly funded knowledge, should be freely accessible. Acting on that, he downloaded thousands of academic articles from the JSTOR archive with the intention of making them publicly available. For this, the federal government charged him with a felony and threatened decades in prison. After two years of prosecutorial pressure, Swartz died by suicide on Jan. 11, 2013.
The still-unresolved questions raised by his case have resurfaced in today’s debates over artificial intelligence, copyright and the ultimate control of knowledge…
Could ChatGPT Convince You to Buy Something? Threat of Manipulation Looms as AI Companies Gear up to Sell Ads
This essay also appeared in the Seattle Post-Intelligencer and The Washington Post’s Ripple.
Eighteen months ago, it was plausible that artificial intelligence might take a different path than social media. Back then, AI’s development hadn’t consolidated under a small number of big tech firms. Nor had it capitalized on consumer attention, surveilling users and delivering ads.
Unfortunately, the AI industry is now taking a page from the social media playbook and has set its sights on monetizing consumer attention. When OpenAI launched its ChatGPT Search…
Rewiring Democracy Now
A new kind of political engagement emerges in Japan
This is the first in a new multi-part series by Sanders and Schneier going into depth on real-world examples of democratic technologies from their book, Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship.
When we first heard the name Takahiro Anno a year ago, the then 33-year-old had just mounted a longshot bid for governor of Tokyo. He lacked the backing of any established political party, but won more than 150,000 votes.
That’s not an easy feat for a political newcomer with essentially no resources—no funding for advertising, no campaign apparatus, no political organization. Anno adopted a strategy that differentiated him among the candidates…
AI & Humans: Making the Relationship Work
We are in an era where the greatest success will come from mixed teams of humans and AIs working together. And when it comes to managing those teams, hard-won lessons from decades past still have much to offe
Leaders of many organizations are urging their teams to adopt agentic AI to improve efficiency, but are finding it hard to achieve any benefit. Managers attempting to add AI agents to existing human teams may find that bots fail to faithfully follow their instructions, return pointless or obvious results or burn precious time and resources spinning on tasks that older, simpler systems could have accomplished just as well.
The technical innovators getting the most out of AI are finding that the technology can be remarkably human in its behaviour. And the more groups of AI agents are given tasks that require cooperation and collaboration, the more those human-like dynamics emerge…
Sidebar photo of Bruce Schneier by Joe MacInnis.