Skip to content
Search

Latest Stories

Top Stories

Self-driving cars: A tech miracle or a public safety threat?

white car

A self-driving car from Waymo and Jaguar moved through traffic in San Francisco in 2021.

Smith Collection/Gado/Getty Images

Hill was policy director for the Center for Humane Technology, co-founder of FairVote and political reform director at New America. You can reach him on X @StevenHill1776.

Will self-driving cars transform our transportation infrastructure? For several years we have been hearing that driverless vehicles will be taking over the streets, and that this transportation revolution will be a great thing for consumers as well as society.


Imagine, your own personal robot driver who picks you up and drops you off, 24/7. No more parking woes or falling asleep at the wheel. Leading companies like Tesla and Waymo have claimed that their robo cars are safer than human-driven vehicles. Waymo, which is a subsidiary of Google/Alphabet, says its vehicles have logged more than 7 million practice miles on public roads, and also 20 billion miles in “simulation.”

That sounds like a lot until you realize that there are 243 million licensed drivers in the United States who drive on average about 13,500 miles a year. That’s a total of 3.3 trillion miles driven every year.

Will any of these driverless services ever live up to the Silicon Valley hype? It’s one thing to test-drive on a track or a computer simulation, but the chaos and confusion of streets in the real world have proven to be a greater challenge than the brash entrepreneurs at Waymo or Tesla’s Elon Musk will admit. Now that the companies are required to report all accidents, it turns out there have been a lot more of them than the public knew.

Recently Waymo became the target of a new federal investigation by the National Highway Traffic Safety Administration. Its investigators flagged nearly two dozen recent incidents when Waymo's vehicles were involved in a collision or exhibiting erratic behavior. There have been increasing reports of collisions with stationary objects, such as gates and parked vehicles, as well as violations of traffic laws.

Waymo’s main competitor, Cruise, paused operations entirely after numerous incidents of erratic operation. That includes an incident in San Francisco that resulted in a pedestrian being dragged 20 feet by a Cruise vehicle, even as Cruise withheld video of the incident from regulators.

Previously an Uber robo vehicle killed a pedestrian, and San Francisco’s fire chief warned that driverless cars interfered with emergency vehicles nearly 40 times in 2023 alone. In April, the NHTSA opened investigations into collisions involving self-driving vehicles run by Amazon-owned Zoox, as well as partially automated driver-assist systems from Tesla and Ford.

NHTSA has identified at least 13 Tesla crashes involving one or more deaths while drivers were using Autopilot, and many more involving serious injuries.

Many members of the public are not happy about this new danger on city streets. In San Francisco, an angry crowd set fire to a Waymo driverless taxi just days after a Waymo car hit a bicyclist. Previously, a Waymo vehicle had struck and killed a dog.

So it looks like industry hype is outracing reality. Part of the issue is one of “trust.” The motto of Silicon Valley has always been “move fast and break things” and “apologize later.” When that reckless attitude gets applied to robo cars, it’s fair to ask whether it is OK that these companies act as if our streets are their laboratory and we’re their guinea pigs.

I enjoy my smartphone and a few techno-trinkets as much as anyone, and certainly many new technologies can bring welcome benefits. But I remember back in 2017 when several tech companies and investors revealed their latest shiny object — flying cars. Uber announced that it would be piloting an aerial taxi service in Los Angeles by 2020. At the time Uber was losing billions of dollars because it used predatory pricing to subsidize each ride as a way to monopolize the market and drive out competitors (including public transportation).

Yet the media lapped it up, even though Uber didn’t even have a working prototype for a service where the equivalent of a fender-bender in the air would be death. Unsurprisingly, the Jetsons’ taxi never took off.

Silicon Valley’s dirty little secret is that seven out of 10 start-ups fail and nine of 10 never earn a profit. Silicon Valley is a casino where investors roll the dice. So the entrepreneurs often feel pressured to sound like circus impresario P.T. Barnum trying to over-hype their latest show.

Don’t get me wrong, the fact that these vehicles can self-drive at all is a marvel. And Waymo counters that 40,000 people are killed by human-driven vehicles every year. But that’s misleading because it’s spread across three trillion miles. How will society decide the threshold for when robo cars are deemed safer than humans?

Maybe these companies should have to create a test city in the desert and experiment there. Currently, the limited abilities of robo cars make them suitable for a Disney World ride, or as shuttles on a university campus or industrial park where the vehicle could safely drive the same repetitive route. Or perhaps they can be used as long distance delivery trucks, which would only have to drive straight on an interstate, and at the city limits a human could drive it into the city.

Instead, regulators mostly have been hands-off, with California recently allowing scandal-plagued Waymo to expand in Los Angeles. The Waymo-ification of our streets seems to be proceeding against all common sense, even as its actual benefits remain elusive.


Read More

An aerial view of a Flock camera

An aerial view of a Flock camera in Burbank, California. U.S. President Donald Trump expressed support for Flock cameras, saying he likes the AI-powered surveillance technology because of its use by law enforcement, despite concerns that it infringes on privacy.

(Photo by Justin Sullivan/Getty Images)

Flock Cameras Are Coming Down – but We Need More To Dismantle the Surveillance State

Chances are, you’ve seen one in your neighborhood. Flock cameras have become a major flashpoint for voters in the leadup to the midterms. The concept sounds straight out of 1984 — a network of government-owned cameras that track your movements — it’s no wonder that Americans across party lines are demanding their states and towns sever ties with the controversial company. Surveillance fears are only getting stronger as we enter the AI era.

But the problem isn’t just Flock. These cameras, Automated License Plate Readers or ALPRs to be exact, are a symptom of a larger “surveil first, ask questions later” attitude that has been adopted by local and federal government for decades. In recent years, the federal government has been dramatically expanding the nation’s surveillance infrastructure. This has taken many forms, from facial recognition technology at the airport, to law enforcement monitoring your mail, to the government watching what you’re posting on your personal social media pages. Since April, many Democrats and Republicans in Congress have united to stop what would effectively be a blank check for surveillance via FISA reauthorization, demanding surveillance reforms such as closing the “data broker loophole”, which allows the government to buy Americans’ personal data without a warrant.

Keep ReadingShow less
​Young adult woman accessing artificial intelligence

Young adult woman accessing artificial intelligence, managing digital information, and exploring future technology within an office setting

Getty Images

When One Person Can Do the Work of a Team

The harder question is how many capable people organizations will need. My latest lesson about artificial intelligence did not come from a research report or technology conference. It came from running the Security and Sustainability Forum.

Until recently, I depended heavily on an assistant to manage much of the website and webinar production process. Now I can do many of those tasks myself with Claude and ChatGPT. They help me develop content, revise web pages, solve technical problems, and manage projects that once required considerably more human support.

Keep ReadingShow less
photograph shows a handheld smartphone displaying the icons of some of the main artificial intelligence based apps

This photograph shows a handheld smartphone displaying the icons of some of the main artificial intelligence based apps, including LLMs, chatbots and generative AI, with logos (from L) of Proton AG's Lumo, Meta AI, Mistral Vibe (formerly Le Chat), xAI's Grok, Microsoft's Copilot, Google's Gemini, Anthropic's Claude, Perplexity, Deepseek, OpenAI's Chat GPT, Google's Notebook LLM and generative AI music app Suno, in Saint-Mande, east of Paris, on July 15, 2026.

Photo by Martin LELIEVRE / AFP via Getty Images)

The Second AI Election: Testing the Safeguards Before November

The 2024 U.S. presidential election was supposed to be the “first AI election.” Experts warned that generative AI could flood voters with deepfakes and fabricated evidence of fraud, U.S. intelligence officials declassified intel reports on foreign influence operations already experimenting with the technology, and leading AI companies pledged to combat deceptive election content. But foreign nations faced significant barriers to deploying AI to influence that election, according to the now-shuttered U.S. Foreign Malign Influence Center.

Two years later, the picture looks very different. AI tools have become far more sophisticated and widely available. Russia, China, and Iran are deploying a wide variety of cutting-edge AI tools in more sophisticated ways in foreign influence operations aimed at the United States and its citizens, among others. Meanwhile, the Trump administration has itself used AI in misleading ways, while at the same time dismantling or defunding the federal and independent bodies that identified and countered election-related influence campaigns. With the potential for AI-driven misinformation campaigns to escalate sharply in this year’s midterms, we tested some of the most popular AI models to learn how they can be exploited to peddle false election narratives. The results are clear: AI companies, lawmakers, and civil society must do more to blunt the threat ahead of elections this November and in 2028 to help ensure free and fair elections. We outline the steps they can take to do so below.

Keep ReadingShow less
Robot Holding a Resume Doing HR Work Vector Illustration

AI résumé screening can filter out qualified candidates before a human ever looks. Here's why transparency and human oversight in hiring matter.

nicoletaionescu/Getty Images

When AI Screens the Resume, Who Gets a Fair Shot at Work?

A job seeker can spend hours tailoring a résumé, checking qualifications and writing a thoughtful application, believing the next step will be a person deciding whether to schedule an interview.

Increasingly, that assumption may be wrong.

Keep ReadingShow less