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Ice Lounge Media

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It’s done. It’s over. Two and a half years after it was first introduced—after months of lobbying and political arm-wrestling, plus grueling final negotiations that took nearly 40 hours—EU lawmakers have reached a deal over the AI Act. It will be the world’s first sweeping AI law. 

The AI Act was conceived as a landmark bill that would mitigate harm in areas where using AI poses the biggest risk to fundamental rights, such as health care, education, border surveillance, and public services, as well as banning uses that pose an “unacceptable risk.” 

“High risk” AI systems will have to adhere to strict rules that require risk-mitigation systems, high-quality data sets, better documentation, and human oversight, for example. The vast majority of AI uses, such as recommender systems and spam filters, will get a free pass. 

The AI Act is a major deal in that it will introduce important rules and enforcement mechanisms to a hugely influential sector that is currently a Wild West. 

Here are MIT Technology Review’s key takeaways: 

1. The AI Act ushers in important, binding rules on transparency and ethics

Tech companies love to talk about how committed they are to AI ethics. But when it comes to concrete measures, the conversation dries up. And anyway, actions speak louder than words. Responsible AI teams are often the first to see cuts during layoffs, and in truth, tech companies can decide to change their AI ethics policies at any time. OpenAI, for example, started off as an “open” AI research lab before closing up public access to its research to protect its competitive advantage, just like every other AI startup. 

The AI Act will change that. The regulation imposes legally binding rules requiring tech companies to notify people when they are interacting with a chatbot or with biometric categorization or emotion recognition systems. It’ll also require them to label deepfakes and AI-generated content, and design systems in such a way that AI-generated media can be detected. This is a step beyond the voluntary commitments that leading AI companies made to the White House to simply develop AI provenance tools, such as watermarking

The bill will also require all organizations that offer essential services, such as insurance and banking, to conduct an impact assessment on how using AI systems will affect people’s fundamental rights. 

2. AI companies still have a lot of wiggle room

When the AI Act was first introduced, in 2021, people were still talking about the metaverse. (Can you imagine!) 

Fast-forward to now, and in a post-ChatGPT world, lawmakers felt they had to take so-called foundation models—powerful AI models that can be used for many different purposes—into account in the regulation. This sparked intense debate over what sorts of models should be regulated, and whether regulation would kill innovation. 

The AI Act will require foundation models and AI systems built on top of them to draw up better documentation, comply with EU copyright law, and share more information about what data the model was trained on. For the most powerful models, there are extra requirements. Tech companies will have to share how secure and energy efficient their AI models are, for example. 

But here’s the catch: The compromise lawmakers found was to apply a stricter set of rules only the most powerful AI models, as categorized by the computing power needed to train them. And it will be up to companies to assess whether they fall under stricter rules. 

A European Commission official would not confirm whether the current cutoff would capture powerful models such as OpenAI’s GPT-4 or Google’s Gemini, because only the companies themselves know how much computing power was used to train their models. The official did say that as the technology develops, the EU could change the way it measures how powerful AI models are. 

3. The EU will become the world’s premier AI police

The AI Act will set up a new European AI Office to coordinate compliance, implementation, and enforcement. It will be the first body globally to enforce binding rules on AI, and the EU hopes this will help it become the world’s go-to tech regulator. The AI Act’s governance mechanism also includes a scientific panel of independent experts to offer guidance on the systemic risks AI poses, and how to classify and test models. 

The fines for noncompliance are steep: from 1.5% to 7% of a firm’s global sales turnover, depending on the severity of the offense and size of the company. 

Europe will also become the one of the first places in the world where citizens will be able to launch complaints about AI systems and receive explanations about how AI systems came to the conclusions that affect them. 

By becoming the first to formalize rules around AI, the EU retains its first-mover advantage. Much like the GDPR, the AI Act could become a global standard. Companies elsewhere that want to do business in the world’s second-largest economy will have to comply with the law. The EU’s rules also go a step further than ones introduced by the US, such as the White House executive order, because they are binding. 

4. National security always wins

Some AI uses are now completely banned in the EU: biometric categorization systems that use sensitive characteristics; untargeted scraping of facial images from the internet or CCTV footage to create facial recognition databases like Clearview AI; emotion recognition at work or in schools; social scoring; AI systems that manipulate human behavior; and AI that is used to exploit people’s vulnerabilities. 

Predictive policing is also banned, unless it is used with “clear human assessment and objective facts, which basically do not simply leave the decision of going after a certain individual in a criminal investigation only because an algorithm says so,” according to an EU Commission official.

However, the AI Act does not apply to AI systems that have been developed exclusively for military and defense uses. 

One of the bloodiest fights over the AI Act has always been how to regulate police use of biometric systems in public places, which many fear could lead to mass surveillance. While the European Parliament pushed for a near-total ban on the technology, some EU countries, such as France, have resisted this fiercely. They want to use it to fight crime and terrorism. 

European police forces will only be able to use biometric identification systems in public places if they get court approval first, and only for 16 different specific crimes, such as terrorism, human trafficking, sexual exploitation of children, and drug trafficking. Law enforcement authorities may also use high-risk AI systems that don’t pass European standards in “exceptional circumstances relating to public security.” 

5. What next? 

It might take weeks or even months before we see the final wording of the bill. The text still needs to go through technical tinkering, and has to be approved by European countries and the EU Parliament before it officially enters into law. 

Once it is in force, tech companies have two years to implement the rules. The bans on AI uses will apply after six months, and companies developing foundation models will have to comply with the law within one year. 

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Brain organoids, clumps of human brain cells grown in a dish, can be hooked up to an electronic chip and carry out simple computational tasks, a new study shows. 

Feng Guo and his team at Indiana University Bloomington generated a brain organoid from stem cells, attached it to a computer chip, and connected their setup, known as Brainoware, to an AI tool. They found that this hybrid system could process, learn, and remember information. It was even able to carry out some rudimentary speech recognition. The work, published today in Nature Electronics, could one day lead to new kinds of bio-computers that are more efficient than conventional computers.

Scientists have been trying to build computers based on advanced biological systems for decades. Guo says that such computers could overcome some challenges of silicon-based computers, such as bottlenecks in data processing. 

Conventional computers are much better than brains in dealing with numbers, but human brains are better at processing complex information while using relatively little energy. “This is a first demonstration of using brain organoids [for computing],” says Guo. “It’s exciting to see the possibilities of organoids for biocomputing in the future.”     

With Brainoware, Guo aimed to use actual brain cells to send and receive information. When the researchers applied electrical stimulation to the hybrid system they’d built, Brainoware responded to those signals, and changes occurred in its neural networks. According to the researchers, this result suggests that the hybrid system did process information, and could perhaps even perform computing tasks without supervision.

Guo and his colleagues then attempted to see if Brainoware could perform any useful tasks. In one test, they used Brainoware to try to solve mathematical equations. They also gave it a benchmark test for speech recognition, using 240 audio clips of eight people pronouncing Japanese vowels. The clips were converted into electrical signals and applied to the Brainoware system. This generated signals in the neural networks of the brain organoid, which were then fed into an AI tool for decoding.

The researchers found that the brain organoid–AI system could decode the signals from the audio recordings, which is a form of speech recognition, says Guo. “But the accuracy was low,” he says. Although the system improved with training, reaching an accuracy of about 78%, it was still less accurate than artificial neural networks, according to the study. 

Lena Smirnova, an assistant professor of public health at Johns Hopkins University,  points out that brain organoids do not have the ability to truly hear speech but simply exhibit “a reaction” to pulses of electrical stimulation from the audio clips. And the study did not demonstrate whether Brainoware can process and store information over the long term or learn multiple tasks. Generating brain cell cultures in a lab and maintaining them long enough to perform computations is also a huge undertaking.

Still, she adds, “it’s a really good demonstration that shows the capabilities of brain organoids.”

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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.

Why the EU AI Act was so hard to agree on

On Saturday, European Union lawmakers announced they’d finally agreed the terms of the final version of the EU AI Act, a major package of laws regulating the industry. To get the full low-down on what’s happened, sign up to read our AI newsletter, The Algorithm, later today.

First proposed back in 2021, the Act is now the world’s first comprehensive AI legislation. But it’s been a long and rocky road: the governing bodies missed an initial deadline for a final package last Wednesday, and details are still emerging. 

Tate Ryan-Mosley, our senior tech policy reporter, has dug into the key sticking points of the legislation—and what comes next. Read the full story.

This story is from The Technocrat, our weekly tech policy newsletter, which was sent before the legislation was finalized. Sign up to receive it in your inbox every Friday.

How to prevent the deadliest gynecological cancer 

—by Golda Arthur, an audio journalist and podcast producer

In 2018, we found out that my mom, Teresa, had stage 4 ovarian cancer. While the odds were stacked against her, she somehow survived after a brutal six months of chemotherapy.

When the cancer came back 11 months later, she tested positive for a gene mutation, which contributed to the development of her cancer. She urged her three kids to get tested to see if we have it too. My results revealed that I do. 

I’ll shortly have surgery for prophylactic removal of my ovaries and my fallopian tubes, as a way to make sure I don’t go through what my mom has gone through: four rounds with this cancer in the last five years.

In some ways, things are looking up. But there’s no getting away from those grim statistics—most women who get ovarian cancer die from it. So while removing my organs is not an ideal plan of action, it’s the only one we’ve got so far. Read the full story.

5 things we didn’t put on our 2024 list of 10 Breakthrough Technologies

No one can predict the future, but at MIT Technology Review we spend much of our time thinking about what it might hold. 

Each year, we put together a list of 10 Breakthrough Technologies, picking the advances that we think have the greatest potential to change our lives (for better or worse). We’ve done this for more than 20 years, and next month we’ll reveal our picks for the 2024 list. 

Every year, our reporters and editors nominate technologies that they think deserve a spot, and we spend weeks debating which ones should make the cut. Here are some of the technologies we didn’t pick this time—and why we’ve left them off, for now. Read the full story.

—Amy Nordrum

The must-reads

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

1 Elon Musk has restored conspiracy theorist Alex Jones’ X account  
After conducting yet another poll gauging X users’ opinions. (CNN)
+ Jones was first banned in 2018 for spreading antisemitism and hate speech. (WP $)
+ Musk now says users should only be banned in response to illegal activity. (Bloomberg $)
+ There’s still no sign of X becoming the promised ‘everything app’. (NY Mag $)

2 AI’s Effective Accelerationism movement wants progress—at any cost
No guardrails, no gatekeepers—and few rules. (NYT $)+ You’re either an E/acc or a decel, according to its followers. (Bloomberg $)

3 SpaceX’s Falcon Heavy spaceplane will launch today
After its launch on Sunday was postponed due to poor weather conditions. (NBC News)
+ China launched its second methane-powered rocket over the weekend. (Bloomberg $)

4 The next generation of semiconductors is here
And the world’s biggest chipmakers are locked in a race to be first to make them. (FT $)
+ A US university is building a major chip research facility. (WSJ $)
+ Huawei’s 5G chip breakthrough needs a reality check. (MIT Technology Review)

5 These engineers are working to make the internet feel faster

A new internet standard could eradicate buffering and glitches for good. (The Verge)
+ How to fix the internet. (MIT Technology Review)

6 Americans bought more than a million electric cars this year
But not every state is equipped to keep them charged. (NY Mag $)
+ Why getting more EVs on the road is all about charging. (MIT Technology Review)

7 We need to grow more resilient crops
Extreme weather events and the changing climate mean we have to switch up how we approach agriculture. (Undark Magazine)
+ Heat is bad for plant health. Here’s how gene editing could help. (MIT Technology Review)

8 Not every robot needs to look like a human
In fact, a lot of them would be more effective if they didn’t. (Insider $)
+ These robots know when to ask for help. (MIT Technology Review)

9 What it’s like to go cold turkey on Google Maps
You’d better get used to factoring in extra time for getting lost! (The Guardian)

10 Inside the meteoric rise of Skibidi Toilet 🚽
The YouTube animated series is wildly popular—and seriously weird. (WP $)

Quote of the day

“We have a deal, but at what cost?”

—Cecilia Bonefeld-Dahl, director general of business group DigitalEurope, tells Reuters she believes the EU AI Act will amount to yet more red tape for companies to navigate.

The big story

Why it’s so hard to make tech more diverse

June 2021

Tracy Chou has a long history of working to expose Silicon Valley’s diversity issues. As an engineer at Pinterest, she published a widely circulated blog post calling for tech companies to share data on how many women worked on their engineering team, and collected their responses in a public database that revealed how homogeneous many technical teams still were. 

About a year later, she started a company called Block Party that targets online harassment by giving Twitter users more control over which tweets appear in their feed and mentions.

Here, we check in with Chou, who is based in San Francisco, to learn more about what it takes to make change in the tech sector, and what entrepreneurs like her are up against. Read the full story.

—Wudan Yan

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.)

+ Eight hours of department store Christmas music, what could be better?
+ Doom is 30 years old!
+ It’s here: 2023 in memes (shout out Kendall Roy!)
+ We just can’t get enough of home pizza ovens.
+ If you pride yourself in resolving disputes among family and friends, you might just have what it takes to manage conflicts between actual grizzly bears.

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This article is from The Technocrat, MIT Technology Review’s weekly tech policy newsletter about power, politics, and Silicon Valley. To receive it in your inbox every Friday, sign up here.

Update: On December 8, 2023, the EU AI Act was agreed on, after this story was written and sent as MIT Technology Review’s weekly tech policy newsletter, The Technocrat. The full text of the new law is not yet available, but we will have a full breakdown in The Algorithm, arriving in inboxes later today. Make sure you’re signed up!

Three governing bodies of the European Union have been intensely negotiating the final version of the EU AI Act, a major package of laws regulating the industry that was first proposed back in 2021. The initial deadline for a final package, December 6, has now come and gone, though lawmakers have not given up and were debating into the early hours of Thursday morning and again on Friday. 

Just a few months ago, it seemed as though the EU AI Act was on its way to getting all the necessary votes and setting the benchmark for AI regulation far beyond the European bloc. But now France, Germany, and Italy in the EU Council, which is composed of member countries’ heads of state, have contested some of the package’s main tenets, and the legislation seems in real danger of failing—which would open the door for other countries outside Europe to set the global AI agenda. 

To better understand the key sticking points and what’s next, I spoke with our senior AI reporter Melissa Heikkilä and Connor Dunlop, a policy expert at the Ada Lovelace Institute. I’ll warn it’s all pretty complex and it’s still a moving target; as Connor tells me, “The most surprising thing has been the level of drafting and redrafting across all three EU institutions,” which he describes as “unprecedented.” But here, with their help, I’ll do my best to answer some of the biggest questions.

What is the basic outline of this law? 

As a refresher, the EU AI Act seeks to establish a risk-based framework for regulating artificial-intelligence products and applications. The use of AI in hiring, for example, is more tightly regulated and requires more transparency than a “lower-risk” application, like AI-enabled spam filters. (I wrote about the package back in June, if you want more background information.) 

Why has this been so hard to finalize?

First, Melissa tells me, there is a lot of disagreement about foundation models, which has taken up most of the energy and space during the latest debates. There are several definitions of the term “foundation model” floating around, which is part of what’s causing the discord, but the core concept has to do with general-purpose AI that can do many different things for various applications. 

You’ve probably played around with ChatGPT; that interface is essentially powered by a foundation model, in this case a large language model from OpenAI. Making this more complex, though, is that these technologies can also be plugged into various other applications with more narrow uses, like education or advertising.

Initial versions of the EU AI Act didn’t explicitly consider foundation models, but Melissa notes that the proliferation of generative AI products over the past year pushed lawmakers to integrate them into the risk framework. In the version of the legislation passed by Parliament in June, all foundation models would be tightly regulated regardless of their assigned risk category or how they are used. This was deemed necessary in light of the vast amount of training data required to build them, as well as IP and privacy concerns and the overall impact they have on other technologies. 

But of course, tech companies that build foundation models have disputed this and advocate for a more nuanced approach that considers how the models are used. France, Germany, and Italy have flipped their positions and gone so far to say that foundation models should be largely exempt from AI Act regulations. (I’ll get at why below.)

The latest round of EU negotiations has introduced a two-tier approach in which foundation models are, at least in part, sorted on the basis of the computational resources they require, Connor explains. In practice, this would mean that “the vast majority of powerful general-purpose models will likely only be regulated by light-touch transparency and information-sharing obligations,” he says, including models from Anthropic, Meta, and others. “This would be a dramatic narrowing of scope [of the EU AI Act],” he adds. Connor says OpenAI’s GPT-4 is the only model on the market that would definitely fall into the higher tier, though Google’s new model, Gemini, might as well. (Read more about the just-released Gemini from Melissa and our senior AI editor Will Douglas Heaven here.)

This debate over foundation models is closely tied to another big issue: industry-friendliness. The EU is known for its aggressive digital policies (like its landmark data privacy law, GDPR), which often seek to protect Europeans from American and Chinese tech companies. But in the past few years, as Melissa points out, European companies have started to emerge as major tech players as well. Mistral AI in France and Aleph Alpha in Germany, for instance, have recently raised hundreds of millions in funding to build foundation models. It’s almost certainly not a coincidence that France, Germany, and Italy have now started to argue that the EU AI act may be too burdensome for the industry. Connor says this means that the regulatory environment could end up relying on voluntary commitments from companies, which may only later become binding.

“How do we regulate these technologies without hindering innovation? Obviously there’s a lot of lobbying happening from Big Tech, but as European countries have very successful AI startups of their own, they have maybe moved to a slightly more industry-friendly position,” says Melissa. 

Finally, both Melissa and Connor talk about how hard it’s been to find agreement on biometric data and AI in policing. “From the very beginning, one of the biggest bones of contention was the use of facial recognition in public places by law enforcement,” says Melissa. 

The European Parliament is pushing for stricter restrictions on biometrics over fears the technology could enable mass surveillance and infringe on citizens’ privacy and other rights. But European countries such as France, which is hosting the Olympics next year, want to use AI to fight crime and terrorism; they are lobbying aggressively and placing a lot of pressure on the Parliament to relax their proposed policies, she says.   

What’s next?

The December 6 deadline was essentially arbitrary, as negotiations have already continued past that date. But the EU is creeping up to a harder deadline. 

Melissa and Connor tell me the key stipulations need to be settled several months before EU elections next June to prevent the legislation from withering completely or getting delayed until 2025. It’s likely that if no agreement is reached in the next few days, the discussion will resume after Christmas. And keep in mind that beyond solidifying the text of the actual law, there’s still a lot that needs to be ironed out regarding implementation and enforcement. 

“Hopes were high for the EU to set the global standard with the first horizontal regulation on AI in the world,” Connor says, “but if it fails to properly assign responsibility across the AI value chain and fails to adequately protect EU citizens and their rights, then this attempt at global leadership will be severely diminished.” 

What I am reading this week

What I learned this week

Google’s CEO, Sundar Pichai, spoke with our editor in chief on the eve of the company’s release of Gemini, Google’s response to ChatGPT. There are lots of good bits from the interview, but I was drawn to the exchange about the future of intellectual property and AI. Pichai said that he expects it to be “contentious,” though Google “will work hard to be on the right side of the law and make sure we also have deep relationships with many providers of content today.” “We have to create that win-win ecosystem for all of this to work over time,” he said.

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The results of my genetic test arrived in an unpretentious white envelope.

It was the summer of 2021, and I almost missed it when I flipped through the mail, but I set it aside from the rest of the bills to look at later. About a month before, I had sent a sample of my saliva to a genetic testing company in California. I wasn’t even nervous about opening it, so sure was I that it wouldn’t be a big deal. 

Looking back on it now, it seems wildly naïve. 

At that point, my family and I had already weathered a grueling three years dealing with the fallout from a cancer diagnosis. In 2018, we found out that my mom, Teresa, had stage 4 ovarian cancer. The diagnosis was sudden, preceded by six months of uncertain and confusing symptoms like back pain, bloating, and loss of appetite. And then there was the shock of stage 4 cancer: Right off the bat? Wait, how many stages are there? My mind reeled as I immediately googled it. I didn’t even have a basic knowledge of ovarian cancer at the time. 

I stopped doing those internet searches pretty quickly; all I found were grim statistics and websites so dense with scientific jargon I could barely find the verb in a sentence. What I could understand was that ovarian cancer, not as well known or well funded as breast cancer with its ubiquitous pink ribbon, is the deadliest gynecological cancer there is. 

There is no way to screen for this disease, unlike breast or cervical cancer, with their annual, routine tests—mammograms and Pap smears. So we often can’t see ovarian cancer in its early stages, which is one reason why it’s so deadly. 

An estimated  19,710  people in the US will be diagnosed with ovarian cancer in 2023. (National Cancer Institute)

The odds were stacked against her, but my mom somehow survived after a brutal six months of chemotherapy. The relief was palpable for my family. When she was well again, in early 2019, she celebrated with a kids-and-grandkids tour, since my brother, sister, and I are spread out across different countries. She started to try to live life normally once more. 

When the cancer came back 11 months later, the rug was pulled out from under us again, and we were distraught, shocked.

The doctors, however, were not. 

I found out later that the way my mom’s cancer presented was textbook: vague symptoms, a surprise diagnosis, and eventually a recurrence, which happens in 70 to 95% of people who were initially diagnosed with ovarian cancer in stages 3 or 4. This is how the disease goes, for the most part. 

After that first recurrence, doctors recommended that my mom do a genetic test, accompanied by genetic counseling. 

Mom’s results came back positive for a gene mutation, which had contributed to the development of her cancer. This aberration is in a gene called RAD51C. When she found out, her first action was to call her kids—all three of us—and urge us to go get tested ourselves. It was important and urgent that we do this, she said, because this was the best—and probably only—way to prevent us from being vulnerable to this cancer too.

That’s why, eventually, I did get tested: I sent off that little sample to the lab, and received that envelope in the mail.

But opening it and reading the results—which revealed that I was a carrier of this mutation also—took me down a path I would never have imagined traveling. I’ll shortly have surgery for prophylactic removal of my ovaries and my fallopian tubes, as a way to make sure I don’t go through what my mom has gone through: four rounds with this cancer in the last five years. 

In some ways, things are looking up, strange though that may sound for a disease with such a grim survival rate. Scientific advances now offer more opportunities for treatment and prevention than ever before. Increasingly accessible and affordable genetic testing has provided a huge step forward for dealing with a cancer for which there is no screening tool, and whose mortality rates have remained stubbornly high for the past several decades. This is, finally, a way to see around the corner to some extent, a new reason to allow some hope into the conversation. 

At the same time, recent discoveries have shown that the most common and deadliest form of ovarian cancer starts not in the ovaries but in the fallopian tubes, and that ovarian cancer is not even one cancer but comprises several distinct subtypes. 

This has all informed a new recommended course of action for “high-risk” people like me. Though it may seem like an extreme step, removing both tubes (a salpingectomy) and ovaries (an oophorectomy) is at least something an individual can do to manage the risk. 

But on a personal level, it’s a hard, anxiety-inducing decision to make. Removing the ovaries leads to immediate menopause, which is not just a giant change in any woman’s life but also increases the risk of cardiovascular disease, dementia, and stroke. Now that I know exactly how important these hidden and underrated organs are, I’m reluctant to part with them, frankly. But there’s no getting away from those grim statistics—most women who get ovarian cancer die from it. So removing my ovaries and fallopian tubes is not an ideal plan of action—but it’s the only one we’ve got so far. 

Now an (ever so slightly less) overlooked cancer

When my mom was first diagnosed, I asked her to start recording audio diaries on her phone to document her experiences, whether good or bad. Maybe we can do something with it one day, I told her. Now, five years later, I finally have: “Overlooked: A Podcast about Ovarian Cancer” charts my family’s journey in 10 episodes and explores how little we knew about this disease for many, many years.

“I think the ovaries might have suffered a little bit from paternalistic, misogynistic practices of the past. I think we only really, in the last 20 to 30 years, have come to realize how important the ovaries are.” 

I started gathering content for the podcast way before anybody mentioned genetics. This was meant to be a story about my mom, her journey with this cancer, and what it could teach the rest of us.

At the time I wasn’t thinking about my own part in this story. I reluctantly became part of it, though, when I did that genetic test. 

Just in the last few years, new scientific discoveries and more widespread genetic testing have really driven a change of approach in treatment and prevention of all sorts of diseases and ovarian cancer specifically—stories that I covered for the show. This disease is now ever so slightly less overlooked than it used to be. 

Nevertheless, it’s critical to understand why it was largely ignored for so long. 

The most fundamental and chilling reason came from Emilie Chiasson, my first interviewee in 2018, who was at the time an advocate with Ovarian Cancer Canada, an organization that raises funds and works with researchers and patients. She told me about the phrases people used to describe this disease, referencing its stealthy nature—“the silent killer” and “the disease that whispers.” 

And then, she hit me with the stark reality: “Why don’t we know more about this? Well, because unfortunately, most people that are affected by the disease sadly die as a result of it and/or they’re very sick” by the time they’re diagnosed. 

“So they’re not out there advocating, marching on [Canada’s Parliament] Hill, wearing pink, doing all the things that women have done to really move forward [on] breast cancer,” Chiasson added. 

My own theory, though, has more to do with how we’ve regarded the ovaries historically. As Dianne Miller, a pioneering gynecological oncologist in British Columbia and cofounder of OVCARE, a multidisciplinary research program there, told me, “I think the ovaries might have suffered a little bit from paternalistic, misogynistic practices of the past. I think we only really, in the last 20 to 30 years, have come to realize how important the ovaries are.”

Important—and complex. 

In the process of producing the podcast, I learned that the ovaries play a hugely significant role in a woman’s health beyond fertility or even menstruation and menopause. They have an impact on cardiovascular disease, Alzheimer’s, osteoporosis, and more. 

The term “ovarian cancer” is not even as straightforward as it sounds, being an umbrella term for different cancers. Doctors only figured this out in 2008, and it was “a huge step forward,” says David Huntsman, the director and another cofounder of OVCARE, whose work was critical to understanding the spectrum of ovarian cancers. The most common—and lethal—type is epithelial ovarian cancer, of which there are several subtypes; they form in the tissue surrounding the ovary, or in the lining of the fallopian tubes, or in peritoneum. There are also germ cell tumors and ovarian stromal tumors, which are rarer. 

The treatment to some extent depends on the subtype—or at least it should. Previously, Huntsman says, “we were treating a kind of mixture of different problems and trying to find a solution which was going to fit across them, which was never going to work.” 

My mom’s subtype was an epithelial cancer called high-grade serous, and her first round of treatment was three sessions of chemotherapy; then a “debulking” surgery to remove the cancer and all the reproductive organs; and then three more sessions of chemotherapy. 

But while doctors understand the cancer better these days, there’s still no way to see it coming: a recent major study in the UK showed that there is no solid way to screen for it. The closest we’ve come is a blood test for a marker called cancer antigen 125, but it’s far from a fail-safe test. CA125 is sometimes elevated in a person with ovarian cancer. But there are other causes of a high CA125 (like endometriosis, for example), so doctors don’t consider this a reliable indication of cancer.

Making matters worse, ovarian cancer symptoms are dangerously vague: feeling bloated or full after eating very little, or sometimes experiencing pain in the pelvis or the back. These are all easily and often misattributed to other health issues. For years, ovarian cancer advocacy organizations have run campaigns to increase symptom awareness in an effort to detect this cancer early. Yet at the same time, in the words of one of my mom’s oncologists, the disease has been “outsmarting” us. 

Educating primary-care doctors, who are often the first type of health-care provider that women see about their symptoms, is an important element in tackling the problem of how to spot this cancer. 

Organizations like Target Ovarian Cancer in the UK have been working for several years to increase awareness of symptoms among primary-care providers within the UK’s National Health Service. But from a physician’s point of view, ovarian cancer won’t be the first thing they think of as they sift through broad symptoms like bloating and pelvic pain—something I heard not just from advocacy organizations, like the UK group, but also from researchers and oncologists in the US and Canada who have worked with physicians. The bottom line is that it’s just a tough cancer to diagnose early. 

This all adds up to a bleak reality: the cancer is mostly caught in later stages, when it has already spread and is difficult to treat. That’s why genetic testing has become the most important preventive tool there is, particularly since about 20% of cases are hereditary. (Hereditary cancers also have a higher recurrence rate.) 

Knowing your genetic make-up, and whether your body carries a gene mutation that makes you susceptible to a certain type of cancer, is empowering. But with that knowledge comes a new, tough set of decisions. 

A genetic puzzle 

If a genetic mutation could become a household name, it kind of happened when, in 2013, Angelina Jolie had a bilateral mastectomy after finding out she was a carrier of a mutation in the BRCA1 gene. Mutations in BRCA1 and BRCA2, discovered about 30 years ago, can increase the risk of breast cancer by up to 85% and of ovarian cancer by up to 60%. 

The mutation my family has is less well known, more newly discovered, and rarer. But the RAD51C mutation also means I have a genetic predisposition to ovarian cancer, and potentially breast cancer too. The risk—currently 10% for me—increases with age until about 60, when it starts to decrease. 

Golda with her parents, Robin and Teresa Arthur.
COURTESY OF THE AUTHOR

When my mom first called me with the results of her genetic test, she sent me the report. My eyes glazed over. It was hard enough to deal with the fact that she was sick again and would go back to chemotherapy soon. But now I would also have to wrap my brain around understanding this complicated genetic mutation. The idea of “mutations” took my lizard brain straight to X-Men.

My mom and I have this inside joke about how science teachers (her) struggle to explain “science-y” things to liberal arts majors (me), and after she had finished reading me the details of her report, there was a pause on the call. “Explain it to me like I’m a liberal arts major, Mum,” I said. 

The RAD51C gene is what’s called a “susceptibility gene,” meaning it’s supposed to protect the body from certain cancers, and a mutation means it can’t perform this job. In this case, that means fighting ovarian cancer. 

All three of us siblings have made different choices about testing. My brother has not yet been tested but plans to, because as a carrier of this gene, he could pass it on to his kids. My sister did hers almost straight away—the trauma of watching Mom go through that first round with cancer motivated her to react quickly. She found out she too has the mutation.

The same fear that compelled my sister to act kept me frozen in hesitation and reluctant to open what I knew would be a Pandora’s box. Around that time the pandemic hit anyway, and everything to do with health care became laser-focused on covid-19; I put off getting myself tested until early 2021.   

I later got in touch with the San Francisco–based genetic testing company Invitae to get an overall picture of how testing is working within the realm of ovarian cancer. Ed Esplin, a clinical geneticist there, told me that although more people are being tested for this disease and for others, it’s still not systematic.

“Unfortunately, there is evidence that less than 40% of all of the cancer patients who already qualify—according to the clinical practice guidelines for genetic testing—are actually getting it, which is a travesty, in my personal opinion,” he says. 

But last summer Esplin coauthored a paper published in the Journal of the American Medical Association showing that rates of testing for patients diagnosed with ovarian cancer are growing: back in 2013, fewer than 30% got a genetic test; by 2019, that share was more than 40%. Nonwhite patients were tested less frequently, but their rates were also increasing.

Testing can inform every aspect of a cancer patient’s care, but the key is that it needs to be done early. “Part of what that’s going to take is education of physicians and patients,” Esplin adds, “so that they understand how critically important genetic testing is, so that it gets done. Part of that is going to be health-care institutions in which these physicians are practicing, putting into place workflows that make this automatic.”

My family’s experience is again an example of how this is just beginning to take root: my mom was asked to do a genetic test the second time her cancer was diagnosed, not the first time. Testing is not in any way “automatic,” but there’s certainly more discussion about it than there used to be, even a mere five years ago.

Once I finally decided I’d put it off long enough, the process to get tested started with an initial session with a genetic counselor—in my case, a two-hour deep dive into everything from family history with cancer to the nature of my monthly cycle. Then I paid $250 out of pocket for my test, which wasn’t covered by my insurance provider, and sent my saliva to Invitae. That price tag puts it out of reach of a lot of people, but the price of testing has actually fallen dramatically in the last 20 years, which makes it much more accessible to the wider public than it used to be.

While I probably should have anticipated what my test would reveal, given that my mom and sister were both positive, the result still caught me off guard. 

I had convinced myself that because this was a “rare” mutation, as all the literature had labeled it, I might not have it. But that was a function of the fear that had gripped me for the previous two years; my intellectual understanding of this disease was filtered through a highly emotional lens, and my brain didn’t want to accept what the implications were. 

I can now understand why people might not want to put themselves forward for testing: there’s no turning away from the knowledge once you have it, and a positive result does force a decision on what to do next.  

A radical treatment plan

The discovery some 15 years ago that most ovarian cancers start in the fallopian tubes has radically changed how patients—and even women who don’t know if they may be at risk—are treated.

Miller, the gynecological oncologist from British Columbia, is now retired but led a team at Vancouver General Hospital that is credited with this discovery—as well as with a new approach of removing the fallopian tubes preventively.

So when we spoke, I started out with a cheeky question designed to provoke: “I’m shortly going to have my fallopian tubes out. Do I have you to thank for that, Dr. Miller?” 

Without skipping a beat, she answered, “Probably not—I’m not your surgeon.”

Nevertheless, it was Miller’s team that rewrote the textbooks on where the most common and lethal type of ovarian cancer originates, and their work has now been turned into guidelines for diagnosis and care. 

Their radical idea was “opportunistic salpingectomy”—removing the fallopian tubes altogether in any woman already having pelvic surgery, thus preventing ovarian cancer whether or not there was a known risk. (While drastic, this wasn’t, of course, the first time prophylactic surgery had been proposed for cancer prevention, since mastectomies are performed to similarly protect those susceptible to breast cancer.)  

“Roughly a quarter of women in their lifetime will have their uterus taken out,” says Miller. In fact, hysterectomy is the second most common surgery for women in the US, often performed because of fibroids, endometriosis, cancer prevention, or uterine prolapse. “And if you think of that, if you could prevent a quarter of the high-grade serous cancers from occurring simply by making a slight modification to a surgery, that’s big—that’s better than any chemotherapy drug that’s been developed throughout my career.”

Miller’s team started doing this work in British Columbia around 2010, and since then they’ve done numerous studies to prove the safety and efficacy of salpingectomies. There are now 14 gynecological societies across the world, including the American College of Obstetricians and Gynecologists, that recommend opportunistic salpingectomies, and uptake has increased in Canada and the United States. 

Gillian Hanley, an associate professor in the Department of Obstetrics and Gynecology at the University of British Columbia, says that only 8% of hysterectomies performed in the province in 2008 included an opportunistic salpingectomy; in 2019, 80% did.

Hanley also works with OVCARE, the research program cofounded by Miller, Huntsman, and another doctor; she says the organization has worked with physicians for years, and more recently with surgeons, to ensure that any woman who has a scheduled pelvic surgery is able to have a discussion about this preventive step.

“So if a woman is having a surgery, and she no longer wants any future pregnancies, there should be a discussion to say, ‘Hey, we’re in your pelvis. We can remove your fallopian tubes at the same time and dramatically reduce your risk for ovarian cancer. Is this something you would like?’” Hanley says.

This conversation obviously forces a decision, if one hasn’t already been made, about one’s desire to have or have more children. My sister, who found out two years earlier than I did that she’d tested positive for the RAD51C gene mutation, was 37 years old when she had her salpingectomy. She has two daughters and had decided that she was done having children, so the idea of removing her fallopian tubes was one she could live with. And having seen the toll this disease had taken on our mom, she wanted to get out of the line of sight of this cancer. When her daughters are older, they’ll get tested for this mutation as well.

Out of 100 people with ovarian cancer, 46 will be alive 5 years after diagnosis. (National Cancer Institute)

These ideas have recently started filtering through to the wider public. Earlier this year, the US-based Ovarian Cancer Research Alliance, one of the largest advocacy organizations for this cancer, had a major shift from an emphasis on early detection; it is now recommending genetic testing, both for diagnosed patients and for other people who know they’re at risk. It now also counsels prophylactic organ removal: opportunistic salpingectomy for anyone at even “average” risk for the cancer; or, if you’re at increased risk, a salpingectomy whether or not it coincides with another procedure, as well as removal of the ovaries.

But this emphasis on genetic testing as a preventive measure hasn’t necessarily been welcomed across the ovarian cancer community, says Sarah DeFeo, the chief program officer at the Ovarian Cancer Research Alliance. “There is this strong attachment to the importance of symptom awareness. And there is this real focus on the promise of early detection,” she says. “And we know that does not work.”

“We need to focus on what does work and what we can do,” she adds. “And we encourage people to know their risk.”

What prevention really looks like 

As for me, after I got my test results, I dragged my heels on a decision. After seeing the genetic counselor, I eventually found my way to a gynecological oncologist at New York–Presbyterian. There, I was told that the recommendation for high-risk women my age—approaching 50—is to have the ovaries as well as the fallopian tubes removed as a preventive measure.

This week, shortly before my 49th birthday, I’ll have this surgery, which will instantly trigger menopause—“surgical” or “forced” menopause are the correct and depressing terms. It fills me with dread, frankly. In an effort to prepare, I find myself going back to googling “what to expect,” and the list is astonishing: menopause can bring hot flashes, brittle bones, heart palpitations, memory loss, insomnia, joint pain, depression, vaginal discomfort, bladder issues, hair loss … I usually don’t make it all the way to the end of these lists. 

This is where we’re at: a huge advance—finally—in science and technology has shined light on a cancer that has long been in the dark, and has been outsmarting us this entire time. But prevention comes at a price. I’m going to be a walking example of prevention very soon, and it does make me wonder: if you have a gene mutation like mine, it seems that the best way to not get ovarian cancer … is to not have ovaries (or fallopian tubes) at all, which tells me a lot about how powerful this disease really is. 

I put that to Miller, who has spent the better part of her career with a full awareness of the disease she was trying to outsmart as a scientist. “I can’t disagree with you,” she replied. “But it’s really the best we have for right now. Is it perfect? Absolutely not, for exactly the reasons that you said. But on the other hand, having watched too many women die of ovarian cancer over my career, I just think we have to do something. And there’s something we can do without increasing the morbidity to women.”

So even as I turn back to googling, there comes a point when I remind myself that surgical menopause is a better outcome than even the possibility of ovarian cancer. It doesn’t take prisoners, this cancer. 

Golda Arthur is an audio journalist and podcast producer. She has launched and run podcasts at Vox Media, MIT Technology Review, and Marketplace, and has reported, edited, and produced for the BBC and the CBC. She lives in New York City.

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