Connect with us

Tech

The gig workers fighting back against the algorithms

Published

on

The gig workers fighting back against the algorithms


In the Bendungan Hilir neighborhood, just a stone’s throw from Jakarta’s glitzy central business district, a long row of makeshift wooden stalls crammed onto the sidewalk serves noodle soup, fried rice, and cigarettes to locals.

One place stands out in particular, buzzing with motorcycle drivers clad in green. It’s an informal “base camp,” or meeting point, for drivers with Gojek, Indonesia’s largest ride-hailing firm—part of the backbone of a growing movement of resistance against the dispatch algorithms that dominate their lives.

Gojek offers motorbike taxis in addition to cars. You can see its trademark green jackets and helmets everywhere as its motorbike drivers take passengers on their back seats, and deliver food and parcels. In between gigs, drivers need to recharge their phones, eat food, and wash up. Since the company doesn’t offer many resting facilities, the community created its own spaces like this one in Bendungan Hilir, colloquially known as Benhil.

Regulars of this location prefer it for its proximity to many of the restaurants popular with Gojek’s food delivery customers. They can rest while staying “on-bid,” the local term for being available to take incoming orders—which is crucial because they must maintain that status for hours.

Drivers congregate at base camps like this roadside stall in Benhil, Jakarta to grab a bite, charge their phones, and trade tips for staying safe on the road.
AGOES RUDIANTO

Base camps grew out of a tradition that existed before algorithmic ride-hailing services came to Indonesia. Motorcycle drivers used to offer rides to people informally, and they would gather at street corners and food stalls to trade news and gossip or share tips for staying safe on the road. Once Gojek and other apps arrived, the habit carried over, says Rida Qadri, an MIT computational social scientist who studies Jakarta’s ride-hailing driver communities. Base camps became the network through which drivers around the city stayed in tight communication.

This sense of community is now at the heart of what distinguishes Jakarta’s drivers from other gig workers around the world. While such workers everywhere have felt increasingly squeezed and exploited by unforgiving algorithms, most have struggled to organize and effect concrete changes in the platforms that control their work or the government policies that enable their mistreatment.

Part of this is due to the direct challenge that algorithmic management poses to labor organizers: it pits workers against one another and scatters them across a vast geographical area, says Jason Jackson, a political economy and urban planning professor at MIT who advised Qadri’s research. By default, it weakens workers’ abilities to connect in person and build the rapport needed to mobilize a movement.

This effect can be seen in the US especially, where Uber drivers haven’t been able to gain an audience with company leadership, let alone generate the momentum to fight against the company’s sophisticated anti-regulation strategies, says Veena Dubal, a law professor at the University of California Hastings College of the Law, who studies and advocates on behalf of US gig workers. “The digital formation of community just isn’t the same,” she says.

To support MIT Technology Review’s journalism, please consider becoming a subscriber.

But in Jakarta, things have played out differently. Through base camps, drivers don’t just keep each other informed; they support one another and band together to bend Gojek’s system a little more toward their will. It’s opened up new channels of communication with the company and laid the groundwork for lasting policy change.

Over the years, as more and more workers have fallen under the gaze of algorithms, a growing chorus of experts have noted how platform companies have paralleled the practices of colonial empires in using management tools to surveil and exploit a broad base of cheap labor. But the experience of Jakarta’s drivers could reveal a new playbook for resistance: a way for workers to build collective power, achieve a measure of security, and take care of one another when seemingly no one else will.


The greater Jakarta area is home to more than 30 million people. It’s a vast urban agglomeration that began developing at hyper speed in the 1970s and ’80s. Its main streets are lined with high-rises, malls, and five-star hotels. But a block away, tiny tin-roofed houses form cramped neighborhoods and winding alleys too narrow for cars.

Navigating this city has always been a challenge. Jakarta only opened its first modern metro line in 2019. Daily commutes consist of hours-long rides in cars and buses through gridlocked traffic or old-fashioned trains that pack passengers like sardines.

AGOES RUDIANTO

It was this sheer impossibility of getting around, especially during rush hour, that gave rise to an informal motorcycle taxi economy long before the advent of apps like Gojek. In this unregulated market, drivers (mostly men) with ojeks, the Indonesian word for motorbike taxis, waited on street corners across the city and offered people a lift when they’d run out of options.

For customers, the experience could be frustrating. Drivers organized in groups around different territories, largely based on their own neighborhoods, and sometimes declined to drive long distances. In a crowded commuter area like a train station, it could be stressful to wade through the crush of ojek drivers waving and shouting to get your attention, and to haggle for a price. 

It was in this chaos that Gojek founder Nadiem Makarim saw a business opportunity. In 2010, Makarim, who’d grown up in a relatively privileged Indonesian family, established a call center to match passengers with trusted motorcycle drivers. For the first time, ojeks were being organized and dispatched by a third party. A year later, he expanded the idea when he joined the e-commerce startup Zalora, letting the company’s last-mile motorcycle delivery fleet ferry individuals around in their downtime.

Then Uber, with its novel algorithmic matchmaking system, entered Indonesia in August 2014. Gojek followed with its own mobile app a few months later, centralizing its existing fleet and consolidating the fractured neighborhood model under a unified set of algorithms.

Ordering ojeks via app, for a predetermined price, was a hit among passengers. It was catnip for investors as well, says Hian Goh, a partner at Singapore-based Openspace Ventures, one of Gojek’s earliest funders. Not only was Uber’s business model growing like crazy—a testament to Gojek’s explosive potential—but Makarim had the perfect founder profile for international investors in Indonesia’s underdeveloped tech scene. After years of elite schooling in Jakarta, he’d gone to an Ivy League college and Harvard Business School before taking a job at the top-tier management consulting firm McKinsey.

As more investor money poured in, there was little concern that Gojek would face any of the labor issues beginning to confront Uber. In the US, Uber had turned taxi driving from a salaried job with benefits into piecemeal gig labor. But in Indonesia, Gojek was turning informal transportation into an orderly, semi-formal industry. In the context of the rest of Indonesia’s largely informal economy, which encompassed everything from pop-up food stalls to unlicensed enterprises offering laundry or home cleaning, the government saw the change as a good thing.

Gojek headquarters at Blok M, Jakarta, Indonesia.

AGOES RUDIANTO

At first, drivers did too. Those who signed up with the intention of driving part time were soon quitting their jobs and converting to Gojek full time. Ojek drivers who held onto old forms of organization were squeezed out as the company bought out their colleagues with hefty bonuses and promises of earnings as much as triple their existing income.

But in exchange for the early gains, workers lost a significant amount of their agency. Where ojek drivers previously had a say in their pay and working conditions, there was now only obedience to the platform’s policies and its all-seeing algorithm.

Soon Gojek’s newly minted fleet began to feel the impact of this reality. As the company onboarded more and more drivers, jobs dwindled and prices dropped with excessive supply. Then as it entered into relentless price wars with its Singaporean competitor Grab, it reduced drivers’ bonuses, forcing them to work longer hours for the same money.

“When I interview representatives of the driver community, they say that their life in Gojek is like a drug addiction,” says Suci Lestari Yuana, a PhD candidate at Utrecht University, who studies the conflicts and controversies surrounding the platform economy in Indonesia. They watch their income shrink, but “they don’t have other options to get out anymore,” Yuana says. “They understand that they’re very dependent on the company.”

“Our driver partners are the core of our business, and their welfare will always be our top priority,” says Tanah Sullivan, head of sustainability at GoTo Group, Gojek’s parent company. “With the majority driving part-time, the flexibility Gojek offers allows drivers to augment their income with other earning opportunities… Based on our own data, both two-wheel and four-wheel drivers’ overall satisfaction has continued to improve particularly in relation to earnings on our platform.”


Kejo, in his 30s and father to two young girls, pulls up to the Benhil base camp on his Honda scooter around 7 p.m. Like many drivers, he sports the logo of his driver community, Gojek on Twit, or GoT, an informal collective he helped form in 2017 that stays connected through base camps and online groups.

Today his work day, which usually starts in the early afternoon, ended with an unexpected long-distance ride. It was tiring, but now he’s satisfied that he hit his daily target. He almost always hits his target, he says with a grin as he digs into a plate of fried rice. He admits he’s among the lucky ones. His account is considered gacor—a term that implies it’s inexplicably blessed with a steady stream of fresh orders.

Kejo (who, like many Indonesians, has only one name) joined Gojek in 2015, right when the app exploded in popularity. Though three-quarters of Indonesia’s employed perform informal work, according to the OECD, he hadn’t been among them; as a car salesman and a bank teller, he’d held stable jobs with benefits. But when Uber, Grab, and then Gojek came onto the scene, ride-hailing had a certain allure. It promised greater freedom than an office job—and, crucially, more money.

Kejo on bike
Kejo left a stable job to join Gojek in 2015 because it promised greater freedom—and crucially, more money.
AGOES RUDIANTO

Indeed, he could earn 700,000 to 800,000 Indonesian rupiah (roughly $48 to $56) per day through 2016, when Gojek rewarded the most active “driver-partners” with generous bonuses. That could translate into an income that was significantly higher than the minimum wage in Jakarta, which is 4.6 million IDR, or $320, per month.

These days he instead makes 300,000 IDR ($21) at most, if he works from 2 p.m. to 7 or 8. Over time, Gojek phased out its bonuses as its driver network increased and it faced growing competition.

Kejo shrugs. He doesn’t let this bother him, but that doesn’t mean it’s been easy. Small incidents like delivering a package to the wrong door can lead a driver’s account to be frozen or closed, if the driver isn’t proactive in explaining what happened or solving the problem. The algorithm also penalizes workers for being inactive, even if they’re sick with covid. This demotes their account status and costs them access to more regular jobs.

“It really gives workers no option other than to keep working,” says Amalinda Savirani, an associate professor at Gadjah Mada University, who studies social movements among the urban poor in Indonesia. “The technology has become an instrument for this labor exploitation.”

“We have a number of measures in place that directly improve working conditions and provide opportunities for advancement of drivers, including education and training, health insurance, sick pay, and wellbeing initiatives,” Sullivan says. “These are in addition to comprehensive programs introduced to support driver partners across our ecosystem amid the challenges brought about by the pandemic.”

Kejo finds support in GoT. It evolved organically around a handful of people like him, who’d joined ride-hailing early and wrote about their experiences on social media.

Kejo’s specialty is identifying scams and warning drivers about them. Some drivers, new to using smartphones, can make easy targets: for example, sometimes fraudsters call, pretending to be Gojek employees, and steal login details and personal information. He uses his network to track new scams and their prevalence, and broadcasts them on his personal Twitter account, which has over 17,000 followers.

Any Gojek driver with a social media account can choose to participate, says Liam, another early GoT member. If one person shares a tip or a concern, it quickly travels through a loose network of WhatsApp and Telegram groups and across social media.

GoT also assists with “everyday problems on the road,” says Budi Prakoso, who connected with the group as a regular at the Benhil base camp. Once when his motorbike broke down, he immediately broadcast it to the group, and a nearby member arrived to help him out.

Liam became a Gojek driver in 2015.
AGOES RUDIANTO

Qadri says there are hundreds of driver communities like GoT that have emerged from the base camps in Jakarta. Drivers will check in with each other daily for everything from advice on the best routes for a delivery to strategies for improving their earnings. During the pandemic, they distributed funds and food boxes to each other’s families, helping them weather otherwise devastating income disruptions from temporary ride-hailing bans and strict lockdowns.

For female drivers, who are a minority on the platforms, informal communities are also a way to stay safe. Rita Sari, who drives for Gojek’s four-wheel service GoCar, broadcasts her live location to GoT whenever she takes a ride to an unfamiliar neighborhood, especially at night. It doesn’t matter that GoT’s members are mostly drivers for Gojek’s motorbike-based services. Their solidarity extends beyond that peer group and even to drivers from rival firms like Grab.

Support comes from the broader community as well. Base camps form and sustain themselves through relationships between drivers and the neighborhood: business owners provide spaces, local authorities approve their use for regular gatherings, food stalls and mosques double up as makeshift shelters for young men without local family or housing who’ve moved to Jakarta to increase their Gojek earnings.

In this way, the many layers of social connections are crucial to helping drivers survive, Qadri says. And it was atop this foundation that the resistance first started.


It began with drivers converging on little hacks to make their daily work a bit easier. As more and more peers confronted the same frustrations, they spread their tricks through the networks like any other piece of information. Over time, those tricks matured into what Savirani describes as “everyday resistance”—tactics that helped drivers, absent any institutional support, to regain control in tiny, cumulative ways.

Kejo prefers a strategy known as “account therapy,” a way to coax Gojek’s algorithm when it isn’t supplying enough of the desired orders. He used to have an account that gave him mostly food deliveries but found it too difficult to keep up during the rainy season. Having observed that the Gojek app learns drivers’ preferences by keeping track of which jobs they accept, he began repeatedly rejecting food orders and accepting only passenger rides. After he persisted through a week of days without any work, the system finally “got it,” he says.

Other drivers who are skilled in deciphering the mysteries of the algorithm offer paid “therapy services” to those who are struggling. A therapist will take over a client’s phone for a week and slowly coax the account back to health before returning it to its owner.

AGOES RUDIANTO

Then there are more sophisticated hacks. The more tech-savvy in the driver communities have developed an entire ecosystem of unauthorized apps that help drivers tweak and tune their accounts, Qadri says. Some are relatively trivial, built simply to eliminate a reliance on Gojek’s engineering team: they enlarge the text on the app’s user interface to improve its readability, or help drivers accept jobs automatically, a feature Gojek has by now incorporated.

But the most popular, with more than half a million downloads, spoof a phone’s GPS. They can give the illusion that a driver who is resting is still working. This can avoid penalties for sick time or help quickly graduate an account to higher levels with more earning potential. Such apps can also give drivers access to places with high customer demand without requiring them to muscle into crowded spaces.

All of these apps are known as tuyul, after a mythological creature in Indonesian folklore that steals money on behalf of its owner (though sometimes at a great price). If Gojek catches a driver using a tuyul, it suspends the account. This has led to an app war, Savirani says: developers build increasingly complex features to hide from Gojek’s detection systems as Gojek develops increasingly complex trackers to find them.

As driver networks have grown and accumulated political capital, they’ve also sought to agitate for broader reforms. They use social media to protest undesirable app updates or push for feature requests. Gojek now sends representatives to base camps to seek feedback and buy-in from drivers about forthcoming changes.

Just recently, GoT pushed through what Budi considers a breakthrough. Drivers often have to pay parking fees out of their own pocket if they pick up a food order. But after they campaigned against the policy, Gojek is now passing the fee on to customers at select mall and office locations. It’s also added an internal reporting mechanism that lets drivers earn a little extra income for sending updates about which malls charge parking fees and how much, Budi says. 

“Drivers feel much more empowered, through their community structure, to reach out to management and negotiate with them in a way that I haven’t seen among Uber and Lyft drivers in the US,” Qadri says.

It’s not just management but regulators as well. When Jakarta was preparing to host the Asian Games in 2018, Garda, another motorbike taxi drivers’ association, threatened a strike that would have disrupted the flow of transportation to and from the sporting events. The prospect of such humiliation for Indonesia on the world stage was pressure enough to get the Ministry of Transportation to meet with the drivers.

As a result, the ministry finally recognized motorbike taxis, which had previously lacked legal status. That will pave the way for regulation to improve their working conditions, Yuana says.

AGOES RUDIANTO

Dubal says these successes offer an important lesson to labor rights advocates outside of Indonesia: that a strong social infrastructure can be a powerful antidote to technical fragmentation. “You don’t get the kind of regulations you want without worker power, and you don’t have worker power without worker community,” she says.

That doesn’t mean the fight is over. Far from it: motorbike drivers, and app-based transportation services as a whole, are still largely unprotected by the law in Indonesia, says Taha Syarafil, the chairman of the drivers’ association Asosiasi Driver Online. And relying on everyday resistance and mutual aid to improve conditions without proper legal rights won’t be tenable forever.

Day by day, Gojek has tightened its controls on unauthorized apps and more severely cracked down on infractions. The company has also begun to buy the allegiance of some leaders in driver communities through tactics such as giving them early access to new features and awarding them side jobs.

But emboldened by their initial wins, drivers—especially those part of formal organizations like Asosiasi Driver Online—are now planning to push for more regulatory changes. This includes passing a law to recognize gig work at the highest level of government, which would enable the Ministries of Transportation and Labor to enforce minimum standards for ride-hailing companies’ treatment of drivers.

Even if that happens, though, informal communities will continue to play a role in easing whatever challenges come with the job—distributing food aid, helping with flat tires, raising money for a hospitalized friend. “The solidarity is strong,” Liam says. “Very, very strong.”



Tech

Why I became a TechTrekker

Published

on

group jumps into the air with snowy mountains in the background


My senior spring in high school, I decided to defer my MIT enrollment by a year. I had always planned to take a gap year, but after receiving the silver tube in the mail and seeing all my college-bound friends plan out their classes and dorm decor, I got cold feet. Every time I mentioned my plans, I was met with questions like “But what about school?” and “MIT is cool with this?”

Yeah. MIT totally is. Postponing your MIT start date is as simple as clicking a checkbox. 

Sofia Pronina (right) was among those who hiked to the Katla Glacier during this year’s TechTrek to Iceland.

COURTESY PHOTO

Now, having finished my first year of classes, I’m really grateful that I stuck with my decision to delay MIT, as I realized that having a full year of unstructured time is a gift. I could let my creative juices run. Pick up hobbies for fun. Do cool things like work at an AI startup and teach myself how to create latte art. My favorite part of the year, however, was backpacking across Europe. I traveled through Austria, Slovakia, Russia, Spain, France, the UK, Greece, Italy, Germany, Poland, Romania, and Hungary. 

Moreover, despite my fear that I’d be losing a valuable year, traveling turned out to be the most productive thing I could have done with my time. I got to explore different cultures, meet new people from all over the world, and gain unique perspectives that I couldn’t have gotten otherwise. My travels throughout Europe allowed me to leave my comfort zone and expand my understanding of the greater human experience. 

“In Iceland there’s less focus on hustle culture, and this relaxed approach to work-life balance ends up fostering creativity. This was a wild revelation to a bunch of MIT students.”

When I became a full-time student last fall, I realized that StartLabs, the premier undergraduate entrepreneurship club on campus, gives MIT undergrads a similar opportunity to expand their horizons and experience new things. I immediately signed up. At StartLabs, we host fireside chats and ideathons throughout the year. But our flagship event is our annual TechTrek over spring break. In previous years, StartLabs has gone on TechTrek trips to Germany, Switzerland, and Israel. On these fully funded trips, StartLabs members have visited and collaborated with industry leaders, incubators, startups, and academic institutions. They take these treks both to connect with the global startup sphere and to build closer relationships within the club itself.

Most important, however, the process of organizing the TechTrek is itself an expedited introduction to entrepreneurship. The trip is entirely planned by StartLabs members; we figure out travel logistics, find sponsors, and then discover ways to optimize our funding. 

two students soaking in a hot spring in Iceland

COURTESY PHOTO

In organizing this year’s trip to Iceland, we had to learn how to delegate roles to all the planners and how to maintain morale when making this trip a reality seemed to be an impossible task. We woke up extra early to take 6 a.m. calls with Icelandic founders and sponsors. We came up with options for different levels of sponsorship, used pattern recognition to deduce the email addresses of hundreds of potential contacts at organizations we wanted to visit, and all got scrappy with utilizing our LinkedIn connections.

And as any good entrepreneur must, we had to learn how to be lean and maximize our resources. To stretch our food budget, we planned all our incubator and company visits around lunchtime in hopes of getting fed, played human Tetris as we fit 16 people into a six-person Airbnb, and emailed grocery stores to get their nearly expired foods for a discount. We even made a deal with the local bus company to give us free tickets in exchange for a story post on our Instagram account. 

Continue Reading

Tech

The Download: spying keyboard software, and why boring AI is best

Published

on

🧠


This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

How ubiquitous keyboard software puts hundreds of millions of Chinese users at risk

For millions of Chinese people, the first software they download onto devices is always the same: a keyboard app. Yet few of them are aware that it may make everything they type vulnerable to spying eyes. 

QWERTY keyboards are inefficient as many Chinese characters share the same latinized spelling. As a result, many switch to smart, localized keyboard apps to save time and frustration. Today, over 800 million Chinese people use third-party keyboard apps on their PCs, laptops, and mobile phones. 

But a recent report by the Citizen Lab, a University of Toronto–affiliated research group, revealed that Sogou, one of the most popular Chinese keyboard apps, had a massive security loophole. Read the full story. 

—Zeyi Yang

Why we should all be rooting for boring AI

Earlier this month, the US Department of Defense announced it is setting up a Generative AI Task Force, aimed at “analyzing and integrating” AI tools such as large language models across the department. It hopes they could improve intelligence and operational planning. 

But those might not be the right use cases, writes our senior AI reporter Melissa Heikkila. Generative AI tools, such as language models, are glitchy and unpredictable, and they make things up. They also have massive security vulnerabilities, privacy problems, and deeply ingrained biases. 

Applying these technologies in high-stakes settings could lead to deadly accidents where it’s unclear who or what should be held responsible, or even why the problem occurred. The DoD’s best bet is to apply generative AI to more mundane things like Excel, email, or word processing. Read the full story. 

This story is from The Algorithm, Melissa’s weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.

The ice cores that will let us look 1.5 million years into the past

To better understand the role atmospheric carbon dioxide plays in Earth’s climate cycles, scientists have long turned to ice cores drilled in Antarctica, where snow layers accumulate and compact over hundreds of thousands of years, trapping samples of ancient air in a lattice of bubbles that serve as tiny time capsules. 

By analyzing those cores, scientists can connect greenhouse-gas concentrations with temperatures going back 800,000 years. Now, a new European-led initiative hopes to eventually retrieve the oldest core yet, dating back 1.5 million years. But that impressive feat is still only the first step. Once they’ve done that, they’ll have to figure out how they’re going to extract the air from the ice. Read the full story.

—Christian Elliott

This story is from the latest edition of our print magazine, set to go live tomorrow. Subscribe today for as low as $8/month to ensure you receive full access to the new Ethics issue and in-depth stories on experimental drugs, AI assisted warfare, microfinance, and more.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 How AI got dragged into the culture wars
Fears about ‘woke’ AI fundamentally misunderstand how it works. Yet they’re gaining traction. (The Guardian
+ Why it’s impossible to build an unbiased AI language model. (MIT Technology Review)
 
2 Researchers are racing to understand a new coronavirus variant 
It’s unlikely to be cause for concern, but it shows this virus still has plenty of tricks up its sleeve. (Nature)
Covid hasn’t entirely gone away—here’s where we stand. (MIT Technology Review)
+ Why we can’t afford to stop monitoring it. (Ars Technica)
 
3 How Hilary became such a monster storm
Much of it is down to unusually hot sea surface temperatures. (Wired $)
+ The era of simultaneous climate disasters is here to stay. (Axios)
People are donning cooling vests so they can work through the heat. (Wired $)
 
4 Brain privacy is set to become important 
Scientists are getting better at decoding our brain data. It’s surely only a matter of time before others want a peek. (The Atlantic $)
How your brain data could be used against you. (MIT Technology Review)
 
5 How Nvidia built such a big competitive advantage in AI chips
Today it accounts for 70% of all AI chip sales—and an even greater share for training generative models. (NYT $)
The chips it’s selling to China are less effective due to US export controls. (Ars Technica)
+ These simple design rules could turn the chip industry on its head. (MIT Technology Review)
 
6 Inside the complex world of dissociative identity disorder on TikTok 
Reducing stigma is great, but doctors fear people are self-diagnosing or even imitating the disorder. (The Verge)
 
7 What TikTok might have to give up to keep operating in the US
This shows just how hollow the authorities’ purported data-collection concerns really are. (Forbes)
 
8 Soldiers in Ukraine are playing World of Tanks on their phones
It’s eerily similar to the war they are themselves fighting, but they say it helps them to dissociate from the horror. (NYT $)
 
9 Conspiracy theorists are sharing mad ideas on what causes wildfires
But it’s all just a convoluted way to try to avoid having to tackle climate change. (Slate $)
 
10 Christie’s accidentally leaked the location of tons of valuable art 🖼📍
Seemingly thanks to the metadata that often automatically attaches to smartphone photos. (WP $)

Quote of the day

“Is it going to take people dying for something to move forward?”

—An anonymous air traffic controller warns that staffing shortages in their industry, plus other factors, are starting to threaten passenger safety, the New York Times reports.

The big story

Inside effective altruism, where the far future counts a lot more than the present

" "

VICTOR KERLOW

October 2022

Since its birth in the late 2000s, effective altruism has aimed to answer the question “How can those with means have the most impact on the world in a quantifiable way?”—and supplied methods for calculating the answer.

It’s no surprise that effective altruisms’ ideas have long faced criticism for reflecting white Western saviorism, alongside an avoidance of structural problems in favor of abstract math. And as believers pour even greater amounts of money into the movement’s increasingly sci-fi ideals, such charges are only intensifying. Read the full story.

—Rebecca Ackermann

We can still have nice things

A place for comfort, fun and distraction in these weird times. (Got any ideas? Drop me a line or tweet ’em at me.)

+ Watch Andrew Scott’s electrifying reading of the 1965 commencement address ‘Choose One of Five’ by Edith Sampson.
+ Here’s how Metallica makes sure its live performances ROCK. ($)
+ Cannot deal with this utterly ludicrous wooden vehicle
+ Learn about a weird and wonderful new instrument called a harpejji.



Continue Reading

Tech

Why we should all be rooting for boring AI

Published

on

Why we should all be rooting for boring AI


This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

I’m back from a wholesome week off picking blueberries in a forest. So this story we published last week about the messy ethics of AI in warfare is just the antidote, bringing my blood pressure right back up again. 

Arthur Holland Michel does a great job looking at the complicated and nuanced ethical questions around warfare and the military’s increasing use of artificial-intelligence tools. There are myriad ways AI could fail catastrophically or be abused in conflict situations, and there don’t seem to be any real rules constraining it yet. Holland Michel’s story illustrates how little there is to hold people accountable when things go wrong.  

Last year I wrote about how the war in Ukraine kick-started a new boom in business for defense AI startups. The latest hype cycle has only added to that, as companies—and now the military too—race to embed generative AI in products and services. 

Earlier this month, the US Department of Defense announced it is setting up a Generative AI Task Force, aimed at “analyzing and integrating” AI tools such as large language models across the department. 

The department sees tons of potential to “improve intelligence, operational planning, and administrative and business processes.” 

But Holland Michel’s story highlights why the first two use cases might be a bad idea. Generative AI tools, such as language models, are glitchy and unpredictable, and they make things up. They also have massive security vulnerabilities, privacy problems, and deeply ingrained biases.  

Applying these technologies in high-stakes settings could lead to deadly accidents where it’s unclear who or what should be held responsible, or even why the problem occurred. Everyone agrees that humans should make the final call, but that is made harder by technology that acts unpredictably, especially in fast-moving conflict situations. 

Some worry that the people lowest on the hierarchy will pay the highest price when things go wrong: “In the event of an accident—regardless of whether the human was wrong, the computer was wrong, or they were wrong together—the person who made the ‘decision’ will absorb the blame and protect everyone else along the chain of command from the full impact of accountability,” Holland Michel writes. 

The only ones who seem likely to face no consequences when AI fails in war are the companies supplying the technology.

It helps companies when the rules the US has set to govern AI in warfare are mere recommendations, not laws. That makes it really hard to hold anyone accountable. Even the AI Act, the EU’s sweeping upcoming regulation for high-risk AI systems, exempts military uses, which arguably are the highest-risk applications of them all. 

While everyone is looking for exciting new uses for generative AI, I personally can’t wait for it to become boring. 

Amid early signs that people are starting to lose interest in the technology, companies might find that these sorts of tools are better suited for mundane, low-risk applications than solving humanity’s biggest problems.

Applying AI in, for example, productivity software such as Excel, email, or word processing might not be the sexiest idea, but compared to warfare it’s a relatively low-stakes application, and simple enough to have the potential to actually work as advertised. It could help us do the tedious bits of our jobs faster and better.

Boring AI is unlikely to break as easily and, most important, won’t kill anyone. Hopefully, soon we’ll forget we’re interacting with AI at all. (It wasn’t that long ago when machine translation was an exciting new thing in AI. Now most people don’t even think about its role in powering Google Translate.) 

That’s why I’m more confident that organizations like the DoD will find success applying generative AI in administrative and business processes. 

Boring AI is not morally complex. It’s not magic. But it works. 

Deeper Learning

AI isn’t great at decoding human emotions. So why are regulators targeting the tech?

Amid all the chatter about ChatGPT, artificial general intelligence, and the prospect of robots taking people’s jobs, regulators in the EU and the US have been ramping up warnings against AI and emotion recognition. Emotion recognition is the attempt to identify a person’s feelings or state of mind using AI analysis of video, facial images, or audio recordings. 

But why is this a top concern? Western regulators are particularly concerned about China’s use of the technology, and its potential to enable social control. And there’s also evidence that it simply does not work properly. Tate Ryan-Mosley dissected the thorny questions around the technology in last week’s edition of The Technocrat, our weekly newsletter on tech policy.

Bits and Bytes

Meta is preparing to launch free code-generating software
A version of its new LLaMA 2 language model that is able to generate programming code will pose a stiff challenge to similar proprietary code-generating programs from rivals such as OpenAI, Microsoft, and Google. The open-source program is called Code Llama, and its launch is imminent, according to The Information. (The Information

OpenAI is testing GPT-4 for content moderation
Using the language model to moderate online content could really help alleviate the mental toll content moderation takes on humans. OpenAI says it’s seen some promising first results, although the tech does not outperform highly trained humans. A lot of big, open questions remain, such as whether the tool can be attuned to different cultures and pick up context and nuance. (OpenAI)

Google is working on an AI assistant that offers life advice
The generative AI tools could function as a life coach, offering up ideas, planning instructions, and tutoring tips. (The New York Times)

Two tech luminaries have quit their jobs to build AI systems inspired by bees
Sakana, a new AI research lab, draws inspiration from the animal kingdom. Founded by two prominent industry researchers and former Googlers, the company plans to make multiple smaller AI models that work together, the idea being that a “swarm” of programs could be as powerful as a single large AI model. (Bloomberg)

Continue Reading

Copyright © 2021 Vitamin Patches Online.