LONDON — Lawmakers in Europe signed off Wednesday on the world’s first set of comprehensive rules for artificial intelligence, clearing a key hurdle as authorities across the globe race to rein in AI.
The European Parliament vote is one of the last steps before the rules become law, which could act as a model for other places working on similar regulations.
A yearslong effort by Brussels to draw up guardrails for AI has taken on more urgency as rapid advances in chatbots like ChatGPT show the benefits the emerging technology can bring — and the new perils it poses.
Here’s a look at the EU’s Artificial Intelligence Act:
HOW DO THE RULES WORK?
The measure, first proposed in 2021, will govern any product or service that uses an artificial intelligence system. The act will classify AI systems according to four levels of risk, from minimal to unacceptable.
Riskier applications, such as for hiring or tech targeted to children, will face tougher requirements, including being more transparent and using accurate data.
It will be up to the EU’s 27 member states to enforce the rules. Regulators could force companies to withdraw their apps from the market.
In extreme cases, violations could draw fines of up to 30 million euros ($33 million) or 6% of a company’s annual global revenue, which in the case of tech companies like Google and Microsoft could amount to billions.
Jean-Francois Badias
Lawmakers vote on the Artificial Intelligence act Wednesday, June 14, 2023 at the European Parliament in Strasbourg, eastern France. Authorities worldwide are racing to rein in artificial intelligence, including in the European Union, where groundbreaking legislation is set to pass a key hurdle Wednesday. European Parliament lawmakers are due to vote on the proposal — including controversial amendments on facial recognition. (AP Photo/Jean-Francois Badias)
WHAT ARE THE RISKS?
One of the EU’s main goals is to guard against any AI threats to health and safety and protect fundamental rights and values.
That means some AI uses are an absolute no-no, such as “social scoring” systems that judge people based on their behavior.
Also forbidden is AI that exploits vulnerable people, including children, or uses subliminal manipulation that can result in harm, for example, an interactive talking toy that encourages dangerous behavior.
Predictive policing tools, which crunch data to forecast who will commit crimes, is also out.
Lawmakers beefed up the original proposal from the European Commission, the EU’s executive branch, by widening the ban on real-time remote facial recognition and biometric identification in public. The technology scans passers-by and uses AI to match their faces or other physical traits to a database.
A contentious amendment to allow law enforcement exceptions such as finding missing children or preventing terrorist threats did not pass.
AI systems used in categories like employment and education, which would affect the course of a person’s life, face tough requirements such as being transparent with users and taking steps to assess and reduce risks of bias from algorithms.
Most AI systems, such as video games or spam filters, fall into the low- or no-risk category, the commission says.
Richard Drew
FILE - The ChatGPT app is seen on an iPhone in New York, Thursday, May 18, 2023. Authorities worldwide are racing to rein in artificial intelligence, including in the European Union, where groundbreaking legislation is set to pass a key hurdle. European Parliament lawmakers are due to vote Wednesday, June 14 on the proposal, along with controversial facial recognition amendments. (AP Photo/Richard Drew, file)
WHAT ABOUT CHATGPT?
The original measure barely mentioned chatbots, mainly by requiring them to be labeled so users know they’re interacting with a machine. Negotiators later added provisions to cover general purpose AI like ChatGPT after it exploded in popularity, subjecting that technology to some of the same requirements as high-risk systems.
One key addition is a requirement to thoroughly document any copyright material used to teach AI systems how to generate text, images, video and music that resemble human work.
That would let content creators know if their blog posts, digital books, scientific articles or songs have been used to train algorithms that power systems like ChatGPT. Then they could decide whether their work has been copied and seek redress.
WHY ARE THE EU RULES SO IMPORTANT?
The European Union isn’t a big player in cutting-edge AI development. That role is taken by the U.S. and China. But Brussels often plays a trend-setting role with regulations that tend to become de facto global standards and has become a pioneer in efforts to target the power of large tech companies.
The sheer size of the EU’s single market, with 450 million consumers, makes it easier for companies to comply than develop different products for different regions, experts say.
But it’s not just a crackdown. By laying down common rules for AI, Brussels is also trying to develop the market by instilling confidence among users.
“The fact this is regulation that can be enforced and companies will be held liable is significant” because other places like the United States, Singapore and Britain have merely offered “guidance and recommendations,” said Kris Shrishak, a technologist and senior fellow at the Irish Council for Civil Liberties.
“Other countries might want to adapt and copy” the EU rules, he said.
Others are playing catch up. Britain, which left the EU in 2020, is jockeying for a position in AI leadership. Prime Minister Rishi Sunak plans to host a world summit on AI safety this fall.
“I want to make the U.K. not just the intellectual home but the geographical home of global AI safety regulation,” Sunak said at a tech conference this week.
Britain’s summit will bring together people from “academia, business and governments from around the world” to work on “a multilateral framework,” he said.
Jean-Francois Badias
Lawmakers vote on the Artificial Intelligence act Wednesday, June 14, 2023 at the European Parliament in Strasbourg, eastern France. Authorities worldwide are racing to rein in artificial intelligence, including in the European Union, where groundbreaking legislation is set to pass a key hurdle Wednesday. European Parliament lawmakers are due to vote on the proposal — including controversial amendments on facial recognition. (AP Photo/Jean-Francois Badias)
WHAT’S NEXT?
It could be years before the rules fully take effect. The next step is three-way negotiations involving member countries, the Parliament and the European Commission, possibly facing more changes as they try to agree on the wording.
Final approval is expected by the end of this year, followed by a grace period for companies and organizations to adapt, often around two years.
Brando Benifei, an Italian member of the European Parliament who is co-leading its work on the AI Act, said they would push for quicker adoption of the rules for fast-evolving technologies like generative AI.
To fill the gap before the legislation takes effect, Europe and the U.S. are drawing up a voluntary code of conduct that officials promised at the end of May would be drafted within weeks and could be expanded to other “like-minded countries.”
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15 things AI can — and can’t — do
PopTika // Shutterstock
Artificial intelligence is a technology built and programmed to assist computer systems in mimicking human behavior. Algorithm training informed by experience and iterative processing allows the machine to learn, improve, and ultimately use human-like thinking to solve complex problems.
Although there are several ways computers can be "taught," reinforcement learning—where AI is rewarded for desired actions and penalized for undesirable ones, is one of the most common. This method, which allows the AI to become smarter as it processes more data, has been highly effective, especially for gaming.
AI can filter email spam, categorize and classify documents based on tags or keywords, launch or defend against missile attacks, and assist in complex medical procedures. However, if people feel that AI is unpredictable and unreliable, collaboration with this technology can be undermined by an inherent distrust of it. Diversity-informed algorithms can detect nuanced communication and distinguish behavioral responses, which could inspire more faith in AI as a collaborator rather than just as a gaming opponent.
Stacker assessed the current state of AI, from predictive models to learning algorithms, and identified the capabilities and limitations of automation in various settings. Keep reading for 15 things AI can and can't do, compiled from sources at Harvard and the Lincoln Laboratory at MIT.
You may also like: How alcohol-related deaths have changed in every state over the past two decades
PopTika // Shutterstock
Artificial intelligence is a technology built and programmed to assist computer systems in mimicking human behavior. Algorithm training informed by experience and iterative processing allows the machine to learn, improve, and ultimately use human-like thinking to solve complex problems.
Although there are several ways computers can be "taught," reinforcement learning—where AI is rewarded for desired actions and penalized for undesirable ones, is one of the most common. This method, which allows the AI to become smarter as it processes more data, has been highly effective, especially for gaming.
AI can filter email spam, categorize and classify documents based on tags or keywords, launch or defend against missile attacks, and assist in complex medical procedures. However, if people feel that AI is unpredictable and unreliable, collaboration with this technology can be undermined by an inherent distrust of it. Diversity-informed algorithms can detect nuanced communication and distinguish behavioral responses, which could inspire more faith in AI as a collaborator rather than just as a gaming opponent.
Stacker assessed the current state of AI, from predictive models to learning algorithms, and identified the capabilities and limitations of automation in various settings. Keep reading for 15 things AI can and can't do, compiled from sources at Harvard and the Lincoln Laboratory at MIT.
You may also like: How alcohol-related deaths have changed in every state over the past two decades
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15 things AI can — and can’t — do
Ground Picture // Shutterstock
AI combines data inputs with iterative processing algorithms to analyze and identify patterns. With each round of new inputs, AI "learns" through the deep learning and natural language processes built into training algorithms.
AI rapidly analyzes, categorizes, and classifies millions of data points, and gets smarter with each iteration. Learning through feedback from the accumulation of data is different from traditional human learning, which is generally more organic. After all, AI can mimic human behavior but cannot create it.
Ground Picture // Shutterstock
AI combines data inputs with iterative processing algorithms to analyze and identify patterns. With each round of new inputs, AI "learns" through the deep learning and natural language processes built into training algorithms.
AI rapidly analyzes, categorizes, and classifies millions of data points, and gets smarter with each iteration. Learning through feedback from the accumulation of data is different from traditional human learning, which is generally more organic. After all, AI can mimic human behavior but cannot create it.
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15 things AI can — and can’t — do
Bas Nastassia // Shutterstock
AI cannot answer questions requiring inference, a nuanced understanding of language, or a broad understanding of multiple topics. In other words, while scientists have managed to "teach" AI to pass standardized eighth-grade and even high-school science tests, it has yet to pass a college entrance exam.
College entrance exams require greater logic and language capacity than AI is currently capable of and often include open-ended questions in addition to multiple choice.
Bas Nastassia // Shutterstock
AI cannot answer questions requiring inference, a nuanced understanding of language, or a broad understanding of multiple topics. In other words, while scientists have managed to "teach" AI to pass standardized eighth-grade and even high-school science tests, it has yet to pass a college entrance exam.
College entrance exams require greater logic and language capacity than AI is currently capable of and often include open-ended questions in addition to multiple choice.
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15 things AI can — and can’t — do
Proxima Studio // Shutterstock
The majority of employees in the tech industry are white men. And since AI is essentially an extension of those who build it, biases can (and do) emerge in systems designed to mimic human behavior.
Only about 25% of computer jobs and 15% of engineering jobs are held by women, according to the Pew Research Center. Fewer than 10% of people employed by industry giants Google, Microsoft, and Meta are Black. This lack of diversity becomes increasingly magnified as AI "learns" through iterative processing and communicating with other tech devices or bots. With increasing incidences of chatbots repeating hate speech or failing to recognize people with darker skin tones, diversity training is necessary.
Proxima Studio // Shutterstock
The majority of employees in the tech industry are white men. And since AI is essentially an extension of those who build it, biases can (and do) emerge in systems designed to mimic human behavior.
Only about 25% of computer jobs and 15% of engineering jobs are held by women, according to the Pew Research Center. Fewer than 10% of people employed by industry giants Google, Microsoft, and Meta are Black. This lack of diversity becomes increasingly magnified as AI "learns" through iterative processing and communicating with other tech devices or bots. With increasing incidences of chatbots repeating hate speech or failing to recognize people with darker skin tones, diversity training is necessary.
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15 things AI can — and can’t — do
Zephyr_p // Shutterstock
Unstructured data like images, sounds, and handwriting comprise around 90% of the information companies receive. And AI's ability to recognize it has almost unlimited applications, from medical imaging to autonomous vehicles to digital/video facial recognition and security. With the potential for this kind of autonomous power, diversity training is an imperative inclusion in university-level STEM pedagogy—where more than 80% of instructors are white men— to enhance diversity in hiring practices and in turn, in AI.
Zephyr_p // Shutterstock
Unstructured data like images, sounds, and handwriting comprise around 90% of the information companies receive. And AI's ability to recognize it has almost unlimited applications, from medical imaging to autonomous vehicles to digital/video facial recognition and security. With the potential for this kind of autonomous power, diversity training is an imperative inclusion in university-level STEM pedagogy—where more than 80% of instructors are white men— to enhance diversity in hiring practices and in turn, in AI.
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15 things AI can — and can’t — do
Andrey_Popov // Shutterstock
Andrey_Popov // Shutterstock
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15 things AI can — and can’t — do
Chepko Danil Vitalevich // Shutterstock
Chepko Danil Vitalevich // Shutterstock
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15 things AI can — and can’t — do
Vasilyev Alexandr // Shutterstock
Vasilyev Alexandr // Shutterstock
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15 things AI can — and can’t — do
Gorodenkoff // Shutterstock
AI can be described as brittle, meaning it can break down easily when encountering unexpected events. During the isolation of COVID-19, one Scottish soccer team used an automatic camera system to broadcast its match. But the AI camera confused the soccer ball with another round, shiny object — a linesman's bald head.
Gorodenkoff // Shutterstock
AI can be described as brittle, meaning it can break down easily when encountering unexpected events. During the isolation of COVID-19, one Scottish soccer team used an automatic camera system to broadcast its match. But the AI camera confused the soccer ball with another round, shiny object — a linesman's bald head.
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15 things AI can — and can’t — do
Claudia Herran // Shutterstock
Flippy is an AI assistant that is flipping burgers at fast food chains in California. The AI relies on sensors to track temperature and cooking time. However, Flippy is designed to work with humans rather than replace them. Eventually, AI assistants like Flippy will be able to perform more complicated tasks—but they won't be able to replace a chef's culinary palate and finesse.
Claudia Herran // Shutterstock
Flippy is an AI assistant that is flipping burgers at fast food chains in California. The AI relies on sensors to track temperature and cooking time. However, Flippy is designed to work with humans rather than replace them. Eventually, AI assistants like Flippy will be able to perform more complicated tasks—but they won't be able to replace a chef's culinary palate and finesse.
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15 things AI can — and can’t — do
Ground Picture // Shutterstock
Ground Picture // Shutterstock
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15 things AI can — and can’t — do
Sharomka // Shutterstock
In 2017, a Dallas six-year-old ordered a $170 dollhouse with one simple command to Amazon's AI device, Alexa. When a TV news journalist reported the story and repeated the girl's statement, "...Alexa ordered me a dollhouse," hundreds of devices in other people's homes responded to it as if it were a command.
As smart as this AI technology is, Alexa and similar devices still require human involvement to set preferences to prevent voice commands for automatic purchases and to enable other safeguards.
Sharomka // Shutterstock
In 2017, a Dallas six-year-old ordered a $170 dollhouse with one simple command to Amazon's AI device, Alexa. When a TV news journalist reported the story and repeated the girl's statement, "...Alexa ordered me a dollhouse," hundreds of devices in other people's homes responded to it as if it were a command.
As smart as this AI technology is, Alexa and similar devices still require human involvement to set preferences to prevent voice commands for automatic purchases and to enable other safeguards.
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15 things AI can — and can’t — do
Roman Strebkov // Shutterstock
China's pharmaceutical companies rely on AI to create and maintain optimal conditions for their largest cockroach breeding facility. Cockroaches are bred by the billions and then crushed to make a "healing potion" believed to treat respiratory and gastric issues, as well as other diseases.
Roman Strebkov // Shutterstock
China's pharmaceutical companies rely on AI to create and maintain optimal conditions for their largest cockroach breeding facility. Cockroaches are bred by the billions and then crushed to make a "healing potion" believed to treat respiratory and gastric issues, as well as other diseases.
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15 things AI can — and can’t — do
Miriam Doerr Martin Frommherz // Shutterstock
People fear that a fully automated economy would eliminate jobs, and this is true to some degree: AI isn't coming, it's already here. But millions of algorithms programmed with a specific task based on a specific data point can never be confused with actual consciousness.
In a TED Talk, brain scientist Henning Beck asserts that new ideas and new thoughts are unique to the human brain. People can take breaks, make mistakes, and get tired or distracted: all characteristics that Beck believes are necessary for creativity. Machines work harder, faster, and more—all actions that algorithms will replace. Trying and failing, stepping back and taking a break, and learning from new and alternative opinions are the key ingredients to creativity and innovation. Humans will always be creative because we are not computers.
Miriam Doerr Martin Frommherz // Shutterstock
People fear that a fully automated economy would eliminate jobs, and this is true to some degree: AI isn't coming, it's already here. But millions of algorithms programmed with a specific task based on a specific data point can never be confused with actual consciousness.
In a TED Talk, brain scientist Henning Beck asserts that new ideas and new thoughts are unique to the human brain. People can take breaks, make mistakes, and get tired or distracted: all characteristics that Beck believes are necessary for creativity. Machines work harder, faster, and more—all actions that algorithms will replace. Trying and failing, stepping back and taking a break, and learning from new and alternative opinions are the key ingredients to creativity and innovation. Humans will always be creative because we are not computers.
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15 things AI can — and can’t — do
vfhnb12 // Shutterstock
Learning from sensors, brush patterns, and teeth shape, AI-enabled toothbrushes also measure time, pressure, and position to maximize dental hygiene. More like electric brushes than robots, these expensive dental instruments connect to apps that rely on smartphone's front-facing cameras.
vfhnb12 // Shutterstock
Learning from sensors, brush patterns, and teeth shape, AI-enabled toothbrushes also measure time, pressure, and position to maximize dental hygiene. More like electric brushes than robots, these expensive dental instruments connect to apps that rely on smartphone's front-facing cameras.
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15 things AI can — and can’t — do
