Skip to content
Search

Latest Stories

Top Stories

On Live Facial Recognition in the City: We Are Not Guinea Pigs, and We Are Not Disposable

Opinion

On Live Facial Recognition in the City: We Are Not Guinea Pigs, and We Are Not Disposable

New Orleans fights a facial recognition ordinance as residents warn of privacy risks, mass surveillance, and threats to immigrant communities.

Getty Images, PhanuwatNandee

Every day, I ride my bike down my block in Milan, a tight-knit residential neighborhood in central New Orleans. And every day, a surveillance camera follows me down the block.

Despite the rosy rhetoric of pro-surveillance politicians and facial recognition vendors, that camera doesn’t make me safer. In fact, it puts everyone in New Orleans at risk.


On Aug. 21, a live facial recognition ordinance was withdrawn by the New Orleans City Council, after months of community organizations fighting back and loudly opposing this dangerous ordinance. A council member's office confirmed that it was removed, pending edits, suggesting that a new one will be introduced. If this or a similar surveillance ordinance is approved, Louisiana would become the first state in the nation with a city-wide biometric surveillance network capable of tracking hundreds of thousands of residents in real time.

That’s not a step we want to take. Once invasive surveillance technology like that ends up in the hands of the government, there are no guardrails or oversight mechanisms powerful enough to protect our freedom and our privacy from bad actors, corrupt politicians, hackers, and anyone who doesn’t have our best interest at heart.

Expanding real-time facial recognition to all city cameras would set an unprecedented shift in mass surveillance for the whole country. It would build the infrastructure for a database that would record our facial features, personal characteristics, and our whereabouts, every time we stepped outside our front doors. All of that data, even if eventually deleted, can be used to train artificial intelligence to get better at recognizing and tracking us over time.

Disturbingly, a collection of cameras positioned across New Orleans is already capable of tracking residents’ every move, recording our data, and trying to match our faces to databases of millions of images of people. These cameras were never approved by the people of New Orleans. They were set up by Project NOLA, a crime prevention nonprofit group, which we now know because of bombshell revelations in the Washington Post. Project NOLA has been secretly spying on New Orleans residents with live facial recognition cameras for years. These cameras are at undisclosed locations around the city, and most importantly, police use of this technology has been outlawed since the local community rallied behind a surveillance ban in 2021.

Enough is enough. Time and again, New Orleans has been used as a testing ground for disempowering programs against our Black and brown communities––not only for secretive racist mass surveillance tech but also for a racist charter school system that has deteriorated our youth’s education. We have been treated as a sacrifice zone for oil, gas, and plastic plants to destroy our ecosystem and poison our health, causing us to have the highest rates of cancer in the country. We are not guinea pigs, and we are not disposable.

As an immigrant, I am desperately sounding the alarm about how devastating this surveillance ordinance would be for all New Orleaneans, including our migrant communities. All over the country, our people are being snatched off the street, our families are being separated, and in New Orleans, even our U.S. citizen babies with cancer are being deported. If we roll out real-time facial recognition in New Orleans, we have to expect that our facial recognition data will be demanded by ICE, requested by Louisiana police, or even hacked by anti-immigrant groups—empowering Trump’s agenda of terrorizing and violating our immigrant communities' fundamental human rights.

Instead of doubling down and investing in costly, racist technology, we should refocus on the root causes of crime and harm. 26% of all adults in New Orleans have low literacy levels. At 22.6%, our poverty rate dwarfs the national average of 10%. Dystopian face surveillance doesn’t solve those problems, but it does put us all at risk. The good news is we already know how to do better. Just last week, The Advocate editorialized about the many community programs and nonprofit efforts that are successfully reducing crime in Louisiana year by year.

Our elected officials have a duty to their constituents: to protect our freedoms, defend our dignity, and keep us safe. Our problems can’t be solved with more cameras and surveillance; they have deep systemic roots that have to be addressed.


Edith Romero is a Honduran community organizer with Eye On Surveillance, a researcher, writer, and a Public Voices fellow of The OpEd Project, The National Latina Institute for Reproductive Justice, and the Every Page Foundation.


Read More

person reading a computer screen
man using computer inside room

Student-Led AI Initiative Aims to Tackle Misinformation

PRINCETON JUNCTION, NJ — As generative artificial intelligence reshapes the digital landscape, a New Jersey student researcher is using the technology to combat media bias. Shaurya Jindal, an AI researcher and student at West Windsor-Plainsboro High School South, has launched Cogito News, an educational platform designed to build modern media literacy skills.

Cogito News was founded in response to growing concerns about partisan framing and selective sourcing in contemporary journalism. Recognizing that cognitive biases often influence how news is packaged and consumed, Jindal sought to build a tool that helps users critically evaluate the information they encounter daily. The platform's real-world impact and timely relevance were highlighted when Jindal was my guest on The Fulcrum Democracy Forum, an interview series dedicated to civic renewal and examining innovative approaches to strengthening democratic systems.

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