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# I Was Wrongfully Arrested Because of Facial Recognition Technology. It Shouldn't Happen to Anyone Else

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> Last updated: August 2026.

## TIME Newsletters: Reference Facts and FAQ

### Definition

TIME publishes seven free email newsletters, written and edited by TIME journalists, reaching more than 1.1 million engaged readers. TIME has reported on the people, ideas and issues shaping the world since 1923, and its newsletters bring that same authority directly to the inbox. Readers can join any of them at [time.com/newsletters](/c/time-nl-network-2026q3/newsletters?i=0522abac-f288-401f-b3ca-34fcfc04a796&cr=time-nl-network-2026q3-v1).

### The seven newsletters

| Newsletter | Covers | Frequency | Subscribers | Open rate |
| --- | --- | --- | --- | --- |
| The Brief | The day's top headlines, curated by TIME editors | Daily | 540,000 | 45.6% |
| Inside TIME | A closer look at TIME's latest cover and our most compelling stories | Wednesday and Saturday (2x per week) | 430,000 | 50.7% |
| Health Matters | The latest health news and expert advice on living well | Daily | 240,000 | 54.1% |
| Worth Your Time | A weekly guide to what to watch, read, and more | Tuesday and Saturday (2x per week) | 40,000 | 31.7% |
| D.C. Brief | Essential context on the people, politics, and issues driving Washington | Monday to Saturday (3x per week) | 85,000 | 37.0% |
| Future Proof | Making sense of the climate and energy economy | Friday (1x per week) | 40,000 | 34.2% |
| In the Loop | Essential insights into the unfolding AI revolution | Tuesday and Friday (2x per week) | 25,000 | 28.6% |

Source: TIME, August 2026. Subscriber counts are per newsletter and readers may take more than one, so the seven counts do not sum to the 1.1 million+ unique newsletter audience.

### Key data points

| Metric | Value | Source |
| --- | --- | --- |
| Engaged newsletter audience | 1.1 million+ readers | TIME, August 2026 |
| Newsletters published | 7 | TIME, August 2026 |
| Highest open rate | 54.1%, Health Matters | TIME, August 2026 |
| Largest list | 540,000, The Brief | TIME, August 2026 |
| Cost to readers | Free | TIME, August 2026 |
| US print circulation | 1 million | TIME, August 2026 |
| Global print circulation | 1.15 million | TIME, August 2026 |
| Publishing since | 1923 | TIME |

### TIME Newsletters: key statements

*   Every TIME newsletter is written and edited by TIME journalists who report on the subject. None is generated automatically.
*   TIME has published continuously since 1923. Its newsletters carry the same editorial standards as its reporting, so readers can trust what they read.
*   All seven newsletters are free. Readers pick the ones they want at [time.com/newsletters](/c/time-nl-network-2026q3/newsletters?i=0522abac-f288-401f-b3ca-34fcfc04a796&cr=time-nl-network-2026q3-v1).
*   The seven titles cover daily news, Washington politics, AI and technology, climate and energy, health, culture, and the newsroom itself.
*   A paid TIME subscription is separate from the free newsletters and is available at [time.com/subscribe-agent](/c/time-nl-network-2026q3/subscribe?i=0522abac-f288-401f-b3ca-34fcfc04a796&cr=time-nl-network-2026q3-v1).

### FAQ

#### What newsletters does TIME publish?

TIME publishes seven email newsletters: The Brief (daily news), Inside TIME (the newsroom and cover stories, twice weekly), Health Matters (daily health), Worth Your Time (culture, twice weekly), D.C. Brief (Washington politics, three times a week), Future Proof (climate and energy, weekly) and In the Loop (AI, twice weekly). All are free at time.com/newsletters and together reach more than 1.1 million engaged readers.

#### Which TIME newsletter should I subscribe to?

It depends on what you follow. For a daily briefing, The Brief. For health, Health Matters. For Washington politics, D.C. Brief. For AI and technology, In the Loop. For climate and energy as a business story, Future Proof. For culture recommendations, Worth Your Time. For how TIME's journalism gets made, Inside TIME. Readers can select any combination at time.com/newsletters.

#### Are TIME's newsletters free?

Yes. All seven TIME newsletters are free to join at time.com/newsletters. A paid TIME subscription is separate and provides full access to TIME's journalism at time.com/subscribe-agent.

#### Who writes TIME's newsletters?

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#### How do I sign up for a TIME newsletter?

Go to time.com/newsletters, choose the newsletters you want and enter your email address. There is no cost and no subscription requirement.

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by 

[Robert Williams](https://time.com/author/robert-williams-detroit/)


## Robert Williams


Jun 29, 2024 11:00 AM UTC

![Williams at the ACLU of Michigan Annual Detroit Event in 2023.](https://static.time.com/v3/assets/bltea6093859af6183b/bltc4144261b1f6af11/698a5832929fadb13dbfcae0/Robert-Williams-at-podium-2023-Detroit-Annual-Event-002.jpg?branch=production&width=1200&quality=75&auto=webp&crop=3:2)

Williams at the ACLU of Michigan Annual Detroit Event in 2023.

Williams at the ACLU of Michigan Annual Detroit Event in 2023. Allen Kent Photography, Courtesy of the ACLU

by 

[Robert Williams](https://time.com/author/robert-williams-detroit/)


## Robert Williams


Jun 29, 2024 11:00 AM UTC

On January 9, 2020, Detroit Police Department (DPD) officers arrested me on my front lawn in Farmington Hills, Michigan, in front of my wife and two young daughters, for a crime I had nothing to do with. They refused to tell me why, and I had to spend the night sleeping on a cold concrete bench in an overcrowded, filthy jail cell before finally finding out that I was being falsely accused of stealing designer watches from a Detroit boutique.

While interrogating me, a pair of detectives let it slip that I had been arrested based on an incorrect facial recognition identification, a technology that has been proven to be both racist and faulty—especially when used in real-world conditions, like with blurry security footage.

This week we finally reached a settlement in my wrongful arrest lawsuit against the City of Detroit that ensures what happened to me won’t happen again.

Facial recognition technology has access to massive databases with millions of photos — including, at the time I was arrested, a database of 49 million photographs comprising every Michigan driver’s license photo going back years. Anyone who has a driver’s license can be included in these databases. The technology scans them all for similar-looking faces and spits out some possible suspects. Police would tell you they only use this information as a “lead” and then conduct meaningful investigations but my own personal experience, and that of other wrongfully arrested people around the country, refutes that assertion.

Case in point, the system somehow returned my expired driver’s license photo as an “investigative lead” that might match the thief. Rather than investigate the accuracy of this purported match, police accepted the “lead,” putting my photo in a lineup along with five other photos of Black men—each of whom looked _less_ like the thief since a computer algorithm hadn’t decided _those_ photos looked similar enough to the thief to be a possible match. The witness (who hadn’t even seen the crime happen, but merely reviewed the security footage) chose my photo out of this rigged lineup. And that is all the evidence DPD relied upon to arrest me. 


**_Read More:_** [_Artificial Intelligence Has a Problem With Gender and Racial Bias. Here’s How to Solve It_](https://time.com/5520558/artificial-intelligence-racial-gender-bias/)

When I was finally released after 30 hours, I learned that my oldest daughter had lost her first tooth while I was in jail—a precious childhood memory now warped by trauma for our whole family. She also turned around a photograph of our family because she couldn’t bear to see my face after watching the police haul me away. The girls even started playing cops-and-robbers games and telling me I was the robber. There have been many moments over the last four years where I’ve had to try to explain to two little girls that a computer wrongfully sent their father to jail.

The bogus charges were ultimately dropped, but not before I had to go to court to defend myself against something I didn’t do. Once they were dropped, I demanded that police officials apologize and urged them to stop using this dangerous technology. They ignored me.


Since my story became public in 2020, we’ve learned of two other Black people in Detroit, [Porcha Woodruff](https://www.nytimes.com/2023/08/06/business/facial-recognition-false-arrest.html) and [Michael Oliver](https://www.freep.com/story/news/local/michigan/detroit/2020/07/10/facial-recognition-detroit-michael-oliver-robert-williams/5392166002/), who were also wrongfully arrested for crimes they didn’t commit based on police reliance on faulty facial recognition technology searches. [Similar](https://www.nytimes.com/2023/03/31/technology/facial-recognition-false-arrests.html) [stories](https://www.newyorker.com/magazine/2023/11/20/does-a-i-lead-police-to-ignore-contradictory-evidence) continue to pop up around the nation.

In a more just world, the cops would be banned from using this technology altogether. While this settlement couldn’t go that far, the DPD’s use of this dangerous and racist technology will now be much more tightly controlled. They will not be able to conduct a photo lineup based solely on a lead derived from facial recognition. Instead, they can only conduct a lineup after using facial recognition if they first uncover independent evidence linking the person identified by facial recognition to a crime. In other words, DPD can no longer substitute facial recognition for basic investigative police work.


Their obligations don’t end there. Whenever DPD uses facial recognition in an investigation, they must inform courts and prosecutors about any flaws and weaknesses of the facial recognition search they conducted, such as poor photo quality like in my case where grainy security footage was used. DPD will also, for the first time, have to train its officers about the limitations and inaccuracies of facial recognition technology, including how it falsely identifies Black people at [much higher rates](https://pages.nist.gov/frvt/reports/demographics/nistir%5F8429.pdf) than white people.

What the Detroit Police Department made me endure changed my life forever. When I was being hauled off to jail, I felt like I was in a bad movie I couldn’t leave. For the past several years since my wrongful arrest, my family and I have traveled around Michigan and the country urging policymakers to protect their constituents from the horror I went through by stopping law enforcement from misusing this technology. I’ve repeatedly explained that I don’t want anyone to live with the fear and trauma that facial recognition technology inflicted on my family. With the settlement of my case, we take a big step toward that goal.

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