Ember Bureau - Culture & Society

The Back Seat Problem: Uber's Women-Only Rides, 2,500 Lawsuits, and a Safety Reckoning Years in the Making

Uber just rolled out nationwide women-only rides across the United States. Behind the feature is a $8.5 million rape verdict, thousands of pending lawsuits, and a question the company still won't fully answer: who counts as a woman?

Ride-sharing promised women a safer alternative to hailing a cab alone at night. That promise has cost Uber billions in legal exposure. Photo: Unsplash

Jaylynn Dean was trying to get to her hotel. It was 2023, she had ordered an Uber, and she got in the car the way millions of people do every day without thinking twice. By the time she arrived, she had been raped by her driver.

Last month, a jury ordered Uber to pay her $8.5 million. It was one of the first of what Uber's own legal filings acknowledge are roughly 2,500 federal court cases making similar claims against the company. The word "bellwether" keeps appearing in court documents - each verdict a signal flare for the thousands of cases lined up behind it.

On Monday, March 10, Uber announced the national rollout of "Women Preferences" - a feature letting female riders and female drivers request to be matched exclusively with each other. The company called it a response to women who wanted "more control over how they ride and earn." What they did not say, but what the timing makes clear, is that they are also rolling it out against a backdrop of catastrophic legal exposure and a public reckoning over whether ride-sharing was ever actually safe for the women it marketed itself to as a savior.

Both things can be true at once: that the feature is genuinely useful, and that it arrives as damage control. Understanding Uber's Women Preferences means holding both of those realities at the same time.

What Happened to Jaylynn Dean, and Why It Matters for Every Woman Who Has Ever Taken a Ride-Share

The back seat of a stranger's car. It is where the promise of ride-sharing meets its most dangerous failure. Photo: Unsplash

Jaylynn Dean's attorney, Alexandra Walsh, said something in court that cut to the core of the entire ride-sharing safety debate. "Women know it's a dangerous world. We know about the risk of sexual assault," she told the jury. "They made us believe that this was a place that was safe from that."

That marketing argument - that Uber had explicitly sold itself as safer than alternatives, and then failed to build safety into the product - was at the center of the $8.5 million verdict. The jury found Uber liable under the "apparent agency" doctrine, meaning the company was responsible for the actions of its drivers even though Uber has spent years arguing those drivers are independent contractors, not employees.

Uber plans to appeal. But the verdict did something that no press release or safety blog post from Uber can undo: it validated, in a court of law, what thousands of women had been saying for years. Uber knew the risk. Uber marketed safety anyway. And Uber did not do enough.

Dean's case was one of 20 "bellwether" cases selected to go to trial first from the pool of roughly 2,500 federal lawsuits making similar claims against Uber. The outcomes of these early trials will shape how the remaining cases are settled. A single verdict does not break a company. But 2,500 of them - with precedent set by juries who heard what Uber knew and when - is a different calculation entirely. (Source: AP, BBC, court filings)

The company's counterargument has been consistent: background checks are conducted, drivers are vetted, and any criminal behavior by an independent contractor cannot be laid at Uber's feet. The jury in Dean's case rejected that argument. The 2,499 cases still waiting may reject it again.

What "Women Preferences" Actually Does - and What It Does Not

The feature is straightforward in concept. Women who use the Uber app can now set a preference to be matched with a female driver, either by booking in advance or by setting a standing preference in the app. Female drivers, in turn, can set a preference to take trips from female passengers. The match is not guaranteed - it depends on whether a female driver is nearby and available - but the preference is factored into the algorithm.

In cities where Uber's teen account feature is live, parents can also request female drivers for their children. That inclusion is notable: it extends the safety framing beyond just adult women and explicitly acknowledges that parents have the same anxieties about their kids in stranger's cars that they would about their daughters traveling alone at night.

Uber says the feature was piloted in parts of the US last year and that the data from the pilot was positive. Women riders reported feeling "more comfortable in the back seat," and women drivers said they felt "more confident behind the wheel." Neither of those outcomes is surprising. What they represent is a psychological safety floor - not a structural solution to assault, but a reduction in the ambient anxiety that many women carry when they get into any vehicle with a stranger driving.

About one-fifth of Uber's drivers in the US are women, though the ratio varies significantly by city. In denser metropolitan areas with higher concentrations of female drivers, the matching feature will work well. In suburban or rural markets where female Uber drivers are scarce, women who set the preference may face longer wait times, higher surge pricing, or no available match at all. Uber has not addressed how it plans to handle those disparities. (Source: Uber, BBC)

This Is Not New: How the Rest of the World Has Been Doing This for Years

The US rollout of Women Preferences is presented as something novel, a bold step. In much of the world, it is simply table stakes.

Uber already offers the women-matching option for drivers in more than 40 countries and for riders in seven countries, including Spain, Brazil, and Saudi Arabia. The Saudi case is particularly illuminating. When Saudi Arabia lifted its ban on women driving in 2018, the need for women-only ride services was immediately obvious - women who had previously relied on male relatives for transport needed options that did not recreate the same power dynamic. Apps offering women-to-women rides filled that gap quickly, and Uber followed.

In India, services like Pink Cab and Sakha Cabs built entire businesses around women-only transport. In countries across Southeast Asia, ride-sharing companies offer women-only options not as a premium or a novelty but as a basic product category. The US is not leading on this. It is catching up.

The gap between the US approach and the global norm reflects something specific to American legal and cultural culture: the assumption that gender-based service differentiation is inherently discriminatory, even when it exists for documented safety reasons. That assumption is now being tested in California courts. (Source: BBC, Reuters)

The Men Who Say They Are Being Discriminated Against

Not everyone is welcoming the feature. Even before the national rollout, two California Uber drivers - both men - filed a class action lawsuit alleging that Women Preferences violates the Unruh Civil Rights Act. That California law prohibits sex discrimination by businesses operating in the state.

Their argument is direct: by giving female drivers preferential access to a larger pool of passengers, Uber is creating a two-tier system that systematically disadvantages male drivers. A male driver who works the same hours in the same city as a female driver will, under this system, see fewer passengers if those passengers have set a women preference. In a gig economy where earnings are directly tied to rides completed, that differential has real dollar consequences.

Uber's legal response has been to file a motion to move the case to private arbitration - citing the agreements drivers signed when joining the platform. The company has also argued in its filings that Women Preferences does not violate the Unruh Act because it "serves a strong and recognized public policy interest in enhancing safety."

The public policy argument is interesting because it is essentially what anti-discrimination law has grappled with for decades: when is differential treatment justified by a safety rationale, and when does that rationale become a pretext for discrimination? In employment law, the "bona fide occupational qualification" doctrine allows gender-based hiring when the gender of the worker is genuinely essential to the job. Whether that logic extends to ride-sharing matching is untested legal territory. (Source: BBC, court filings)

Lyft is already further along in this fight. Its women-and-non-binary matching feature, launched in 2024, is facing a discrimination lawsuit of its own. The outcome of both cases will likely determine whether women-only ride features survive legal challenge in the US market at all - or whether they are quietly rolled back the way many companies retreat from inclusive policies the moment litigation begins.

The Question Uber Is Not Answering: Who Counts as a Woman?

The women's ride feature raises questions the platform is not yet ready to answer about gender identity, inclusion, and who gets the benefit of safety infrastructure. Photo: Unsplash

Uber's public communications about Women Preferences are careful to say "women" without defining the term. That is not an oversight. It is a deliberate choice to avoid a political firestorm.

In the current US political climate - where legislation restricting transgender rights has proliferated at the state level and where the federal government under Trump has taken formal steps to define gender as binary and biological - any ride-sharing company that explicitly includes transgender women in its gender-matching feature is walking into a political confrontation. Any company that explicitly excludes them is walking into a different one.

Lyft has been marginally more explicit: its feature covers "women and non-binary" riders and drivers, a formulation that at least acknowledges the existence of gender identities outside the binary. Uber has not followed that framing. Its "Women Preferences" feature uses language that could be read to include or exclude trans women depending on who is interpreting it, and the company has not publicly clarified how gender is verified or determined in the matching process.

This is not a minor detail. A transgender woman who books Women Preferences because she shares the same safety concerns as other women - because she is subject to the same harassment, the same power dynamics in a car with a male stranger - and who then faces questions about her gender from a driver or from the app, has not been made safer. She has been added to a system that does not know whether it wants her.

The political cowardice here has a real cost. Women-only spaces have historically been sites of exclusion for trans women, and the decision to be deliberately vague about inclusion is itself a choice - one that defaults to ambiguity in the absence of clarity, and ambiguity usually favors the status quo. (Source: BBC, ACLU, National Center for Transgender Equality)

What Uber's Safety Numbers Actually Look Like

Uber published its third US Safety Report in 2023. The numbers are worth sitting with.

In 2019 and 2020 combined, there were 3,824 reported sexual assaults across Uber's US platform. Of those, 141 involved rape. The company acknowledged that the actual numbers are likely higher - most sexual assaults go unreported under any circumstances, and the barriers to reporting an assault to the company whose driver committed it are obvious.

The company's safety investments since those reports have been real but incomplete. Uber has introduced in-app emergency contacts, a 911 integration that shares your location and driver details with dispatchers, audio recording features in some markets, and the RideCheck system that detects unexpected stops. These are genuine improvements. They are also improvements that come after the fact - tools that help document or respond to an incident rather than prevent it.

The deeper structural problem is one that Women Preferences does not solve: the classification of drivers as independent contractors. Because Uber's drivers are not employees, the company has successfully argued - at least until the Dean verdict challenged that argument - that it cannot be held liable for their off-platform behavior or even for criminal acts committed while the app is running. The independent contractor model, which keeps Uber's costs low by offloading labor protections, also offloads safety responsibility in ways that have proven catastrophic for thousands of passengers.

Women Preferences is a product feature sitting on top of a structural arrangement that has never been resolved. The matching algorithm can give a woman a female driver. It cannot guarantee that female driver has not engaged in harassment or assault herself. It cannot guarantee safety. It can only manage the specific vector of danger that comes from being alone in a car with a male stranger - which is, to be clear, a real and serious vector of danger. (Source: Uber Safety Report 2023, AP, Reuters)

Corporate Feminism vs. Structural Change: What the Advocates Are Actually Saying

Women's safety advocates have responded to the Women Preferences rollout with a mixture of genuine relief and sharp-edged skepticism. The two reactions are not contradictory.

The relief is real: for women who have experienced harassment or assault in ride-sharing vehicles, or who have felt the low-level constant vigilance of being alone in a car with an unfamiliar man, the option to simply not be in that situation is not nothing. It is a meaningful reduction in exposure to risk. Saying "this doesn't solve everything" should not become a reason to dismiss something that actually helps some women in some situations.

The skepticism is also real. Uber's Women Preferences arrives weeks after an $8.5 million rape verdict and against a backdrop of 2,500 pending lawsuits. The timing is not incidental. When a company with this legal exposure rolls out a safety feature that had been piloted for a year and held back, the question is always: what changed in the calculation? The answer is not hard to find. It is in the court filings.

"This is the company that marketed itself as a safe ride for women. They knew about the wave of assaults. They knew. And their response to knowing was to not change the fundamental structure of the business. The Women Preferences feature is welcome. But welcome doesn't mean sufficient." - Attorney Sarah London, lead counsel for Jaylynn Dean (paraphrased from court statements, as reported by AP)

There is also the deeper question of what "safety" means as a product. Uber has built its safety features as consumer-facing options that women must actively choose and configure. The default experience - the one that requires no action from the user - remains a stranger-match with no gender filter. Safety, in Uber's model, is an opt-in premium feature rather than a baseline guarantee. That inversion of responsibility - placing the burden of safety management on passengers rather than on the platform - is the critique that no matching algorithm resolves.

Feminist transportation researchers have pointed to this problem for years. The question is not just "can women get a female driver?" It is "why has the infrastructure of urban mobility been built on a model where women must specifically request not to be placed in vulnerable situations?" The feature is a patch on a system whose architecture was never designed with women's safety as a primary input. (Source: Urban Institute, National Women's Law Center)

Who Gets Left Out: The Access Gaps That Women Preferences Will Not Fix

Even if Women Preferences works exactly as advertised for users who set the preference in cities with strong female driver supply, several groups of women will find the feature useless or actively counterproductive.

Women in rural and suburban markets face the first gap. With roughly 20 percent of US Uber drivers being female, and with that ratio skewing even lower in lower-density areas, setting a women preference outside a major metropolitan area may mean waiting times so long the feature becomes functionally unavailable. In places where Uber is already the primary or only accessible form of non-car transport, an unreliable matching feature is not an improvement.

Women on tight budgets face the second gap. Uber's surge pricing model means that any additional constraint on matching - including a gender preference - could push prices higher when female drivers are scarce. The women who most need affordable, safe transportation options are often the same women for whom a $3 surge is a real financial decision. A safety feature that works well for women who can absorb variable pricing is still a safety feature that works. But the equity dimension matters.

Disabled women face a third gap. Uber's accessibility features are already limited and inconsistently available across markets. Layering a gender preference on top of an already constrained pool of accessible vehicles (wheelchair-accessible cars, drivers with relevant training) further narrows the already narrow margin of available rides.

And immigrant women, particularly undocumented women who may be cautious about any interaction that requires ID verification or creates a documented record of their location and movements, may avoid Uber entirely - making the Women Preferences feature an irrelevance to them while the structural safety problem of getting around in an unfamiliar country remains entirely unsolved. (Source: Urban Institute, Migration Policy Institute)

What the Courts Will Decide Next - and Why It Matters Beyond Uber

Three legal battles are now running simultaneously, each with implications that extend far beyond one ride-sharing company.

The first is Uber's own appeal of the $8.5 million Dean verdict. If the appeal succeeds, it establishes that ride-sharing platforms can successfully distance themselves from liability for driver behavior under the independent contractor framework - a precedent that would embolden every gig economy company operating in similar legal grey areas. If the appeal fails, or if subsequent bellwether cases produce similar verdicts, the economic pressure on Uber to reclassify drivers as employees - or to fundamentally restructure its safety model - becomes very hard to ignore.

The second is the California class action by male drivers alleging that Women Preferences violates anti-discrimination law. Uber has tried to move this to arbitration, which would suppress a public verdict. If a court allows the class action to proceed, and if a jury ultimately finds that Women Preferences discriminates against male drivers, it creates a direct contradiction: the legal system simultaneously requiring that companies not discriminate by gender and allowing them to be sued for massive damages for failing to prevent gendered violence. Something has to give.

The third is Lyft's parallel situation. Lyft is fighting its own discrimination lawsuit over a similar feature while facing similar safety litigation. The two companies are not collaborating publicly - they are competitors - but they are functionally running parallel legal experiments. Whatever the courts decide about Lyft's women-and-non-binary feature will shape what Uber is legally permitted to do with Women Preferences.

The combined legal exposure is reshaping how the entire gig economy thinks about the intersection of safety, gender, and liability. Other platforms - food delivery, freelance work, home services - are watching. The precedents being set in these cases will define the terms of the next decade of gig economy regulation. (Source: AP, Bloomberg Law, Reuters)

"The jury found the company was liable under the apparent agency doctrine - meaning Uber was held responsible for the driver's actions while he worked on the company's behalf." - BBC reporting on the $8.5m Dean verdict, February 2026

The Bigger Picture: Ride-Sharing Was Supposed to Set Women Free

There is a particular irony in how ride-sharing was marketed to women when it emerged in the early 2010s. The pitch was liberation: no more standing alone at night trying to hail a cab, no more navigating the social minefield of public transport after dark, no more dependence on male partners or friends for a safe ride home. The app would call a vetted driver directly to where you were. It would track the route. It would keep a record. You would be safe.

The pitch worked because it was partially true. Ride-sharing did improve on some aspects of the earlier system. The tracking features, the ability to share your ride status with a friend, the rating system that at least theoretically held bad actors accountable - these were real improvements over hailing an anonymous cab with no record of the driver's identity.

But the pitch was also a product of a specific era of tech optimism in which founders and funders consistently failed to anticipate the ways their platforms would replicate, at scale, the exact power dynamics they claimed to be disrupting. A woman alone in a stranger's car at 2am is a woman alone in a stranger's car at 2am, whether that stranger arrived via app or taxi dispatch. The technology changed the interface. It did not change the fundamental vulnerability.

The 2,500 lawsuits are the reckoning for that failure of imagination. The Women Preferences feature is Uber's attempt to respond - not with structural change to how drivers are classified, how safety is enforced, or how liability is distributed, but with a matching algorithm that reduces one specific risk vector for one specific demographic of users who actively configure the preference.

It is better than nothing. By a significant margin. Women who use it and are matched with female drivers will almost certainly have safer, less anxious rides. That is not insignificant.

But Jaylynn Dean got in a car and trusted a system that told her she was safe. She was not safe. And the same company that failed her is now telling women: choose a female driver, and you will be safer. The offer is real. The trust required to accept it is complicated. And the 2,499 cases still waiting for trial carry the weight of every woman who took Uber at its word and found out the hard way what that word was worth.