Latest Essays
Page 11
Let’s Not Make the Same Mistakes with AI That We Made with Social Media
Social media’s unregulated evolution over the past decade holds a lot of lessons that apply directly to AI companies and technologies.
Oh, how the mighty have fallen. A decade ago, social media was celebrated for sparking democratic uprisings in the Arab world and beyond. Now front pages are splashed with stories of social platforms’ role in misinformation, business conspiracy, malfeasance, and risks to mental health. In a 2022 survey, Americans blamed social media for the coarsening of our political discourse, the spread of misinformation, and the increase in partisan polarization.
Today, tech’s darling is artificial intelligence. Like social media, it has the potential to change the world in many ways, some favorable to democracy. But at the same time, it has the potential to do incredible damage to society…
How Public AI Can Strengthen Democracy
With the world’s focus turning to misinformation, manipulation, and outright propaganda ahead of the 2024 U.S. presidential election, we know that democracy has an AI problem. But we’re learning that AI has a democracy problem, too. Both challenges must be addressed for the sake of democratic governance and public protection.
Just three Big Tech firms (Microsoft, Google, and Amazon) control about two-thirds of the global market for the cloud computing resources used to train and deploy AI models. They have a lot of the AI talent, the capacity for large-scale innovation, and face few public regulations for their products and activities…
How the “Frontier” Became the Slogan of Uncontrolled AI
Artificial intelligence (AI) has been billed as the next frontier of humanity: the newly available expanse whose exploration will drive the next era of growth, wealth, and human flourishing. It’s a scary metaphor. Throughout American history, the drive for expansion and the very concept of terrain up for grabs—land grabs, gold rushes, new frontiers—have provided a permission structure for imperialism and exploitation. This could easily hold true for AI.
This isn’t the first time the concept of a frontier has been used as a metaphor for AI, or technology in general. As early as 2018, the powerful foundation models powering cutting-edge applications like chatbots …
Building a Cyber Insurance Backstop Is Harder Than It Sounds
Insurers argue that a government backstop would help them cover catastrophic cyberattacks, but it’s not so simple.
In the first week of January, the pharmaceutical giant Merck quietly settled its years-long lawsuit over whether or not its property and casualty insurers would cover a $700 million claim filed after the devastating NotPetya cyberattack in 2017. The malware ultimately infected more than 40,000 of Merck’s computers, which significantly disrupted the company’s drug and vaccine production. After Merck filed its $700 million claim, the pharmaceutical giant’s insurers argued that they were not required to cover the malware’s damage because the cyberattack was widely attributed to the Russian government and therefore was excluded from standard property and casualty insurance coverage as a “hostile or warlike act.”…
CFPB’s Proposed Data Rules Would Improve Security, Privacy and Competition
By giving the public greater control over their banking data, the Consumer Financial Protection Bureau's proposal would deal a blow to data brokers.
In October, the Consumer Financial Protection Bureau (CFPB) proposed a set of rules that if implemented would transform how financial institutions handle personal data about their customers. The rules put control of that data back in the hands of ordinary Americans, while at the same time undermining the data broker economy and increasing customer choice and competition. Beyond these economic effects, the rules have important data security benefits.
The CFPB’s rules align with a key security idea: the decoupling principle. By separating which companies see what parts of our data, and in what contexts, we can gain control over data about ourselves (improving privacy) and harden cloud infrastructure against hacks (improving security). Officials at the CFPB have described the new rules as an attempt to accelerate a shift toward “open banking,” and after an initial comment period on the new rules closed late last year, Rohit Chopra, the CFPB’s director, …
Don’t Talk to People Like They’re Chatbots
AI could make our human interactions blander, more biased, or ruder.
For most of history, communicating with a computer has not been like communicating with a person. In their earliest years, computers required carefully constructed instructions, delivered through punch cards; then came a command-line interface, followed by menus and options and text boxes. If you wanted results, you needed to learn the computer’s language.
This is beginning to change. Large language models—the technology undergirding modern chatbots—allow users to interact with computers through natural conversation, an innovation that introduces some baggage from human-to-human exchanges. Early on in our respective explorations of ChatGPT, the two of us found ourselves typing a word that we’d never said to a computer before: “Please.” The syntax of civility has crept into nearly every aspect of our encounters; we speak to this algebraic assemblage as if it were a person—even when we know that …
AI Needs to Be Both Trusted and Trustworthy
Through sensors, actuators, and IoT devices, AI is going to be interacting with the physical plane on a massive scale. The question is, how does one build trust in its actions?
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In 2016, I wrote about an Internet that affected the world in a direct, physical manner. It was connected to your smartphone. It had sensors like cameras and thermostats. It had actuators: Drones, autonomous cars. And it had smarts in the middle, using sensor data to figure out what to do and then actually do it. This was the Internet of Things (IoT).
The classical definition of a robot is something that senses, thinks, and acts—that’s today’s Internet. We’ve been building a world-sized robot without even realizing it…
AI Could Improve Your Life by Removing Bottlenecks between What You Want and What You Get
Artificial intelligence is poised to upend much of society, removing human limitations inherent in many systems. One such limitation is information and logistical bottlenecks in decision-making.
Traditionally, people have been forced to reduce complex choices to a small handful of options that don’t do justice to their true desires. Artificial intelligence has the potential to remove that limitation. And it has the potential to drastically change how democracy functions.
AI researcher Tantum Collins and I, a public-interest technology scholar…
The Internet Enabled Mass Surveillance. AI Will Enable Mass Spying.
Spying has always been limited by the need for human labor. AI is going to change that.
Spying and surveillance are different but related things. If I hired a private detective to spy on you, that detective could hide a bug in your home or car, tap your phone, and listen to what you said. At the end, I would get a report of all the conversations you had and the contents of those conversations. If I hired that same private detective to put you under surveillance, I would get a different report: where you went, whom you talked to, what you purchased, what you did.
Before the internet, putting someone under surveillance was expensive and time-consuming. You had to manually follow someone around, noting where they went, whom they talked to, what they purchased, what they did, and what they read. That world is forever gone. Our phones track our locations. Credit cards track our purchases. Apps track whom we talk to, and e-readers know what we read. Computers collect data about what we’re doing on them, and as both storage and processing have become cheaper, that data is increasingly saved and used. What was manual and individual has become bulk and mass. Surveillance has …
AI and Trust
German translation
Italian translation
I trusted a lot today. I trusted my phone to wake me on time. I trusted Uber to arrange a taxi for me, and the driver to get me to the airport safely. I trusted thousands of other drivers on the road not to ram my car on the way. At the airport, I trusted ticket agents and maintenance engineers and everyone else who keeps airlines operating. And the pilot of the plane I flew. And thousands of other people at the airport and on the plane, any of which could have attacked me. And all the people that prepared and served my breakfast, and the entire food supply chain—any of them could have poisoned me. When I landed here, I trusted thousands more people: at the airport, on the road, in this building, in this room. And that was all before 10:30 this morning…
Sidebar photo of Bruce Schneier by Joe MacInnis.