WIRED is following every copyright battle involving the AI industry—and we’ve created some handy visualizations that will be updated as the cases progress.

The automaker has sunk billions into making a self-driving car service work. Now it says it will focus on “personal” autonomous vehicles instead.

We Need a New Right to Repair for Artificial Intelligence
A growing movement to allow access to algorithmic workings won’t stop the ubiquitous spread of artificial intelligence, but it could restore public confidence in it.

ILLUSTRATION: CARMEN CASADO


THERE’S A GROWING trend of people and organizations rejecting the unsolicited imposition of AI in their lives. In December 2023, the The New York Times sued OpenAI and Microsoft for copyright infringement. In March 2024, three authors filed a class action in California against Nvidia for allegedly training its AI platform NeMo on their copyrighted work. Two months later, the A-list actress Scarlett Johansson sent a legal letter to OpenAI when she realized its new ChatGPT voice was “eerily similar” to hers.

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This story is from the WIRED World in 2025, our annual trends briefing.

The technology isn’t the problem here. The power dynamic is. People understand that this technology is being built on their data, often without our permission. It’s no wonder that public confidence in AI is declining. A recent study by Pew Research shows that more than half of Americans are more concerned than they are excited about AI, a sentiment echoed by a majority of people from Central and South American, African, and Middle Eastern countries in a World Risk Poll.

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In 2025, we will see people demand more control over how AI is used. How will that be achieved? One example is red teaming, a practice borrowed from the military and used in cybersecurity. In a red teaming exercise, external experts are asked to “infiltrate” or break a system. It acts as a test of where your defenses can go wrong, so you can fix them.

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Red teaming is used by major AI companies to find issues in their models, but isn’t yet widespread as a practice for public use. That will change in 2025.

The law firm DLA Piper, for instance, now uses red teaming with lawyers to test directly whether AI systems are in compliance with legal frameworks. My nonprofit, Humane Intelligence, builds red teaming exercises with nontechnical experts, governments, and civil society organizations to test AI for discrimination and bias. In 2023, we conducted a 2,200-person red teaming exercise that was supported by the White House. In 2025, our red teaming events will draw on the lived experience of regular people to evaluate AI models for Islamophobia, and for their capacity to enable online harassment against women.

Overwhelmingly, when I host one of these exercises, the most common question I’m asked is how we can evolve from identifying problems to fixing problems ourselves. In other words, people want a right to repair.

An AI right to repair might look like this—a user could have the ability to run diagnostics on an AI, report any anomalies, and see when they are fixed by the company. Third party-groups, like ethical hackers, could create patches or fixes for problems that anyone can access. Or, you could hire an independent accredited party to evaluate an AI system and customize it for you.

While this is an abstract idea today, we’re setting the stage for a right to repair to be a reality in the future. Overturning the current, dangerous power dynamic will take some work—we’re rapidly pushed to normalize a world in which AI companies simply put new and untested AI models into real-world systems, with regular people as the collateral damage. A right to repair gives every person the ability to control how AI is used in their lives. 2024 was the year the world woke up to the pervasiveness and impact of AI. 2025 is the year we demand our rights.

Newly published research finds that the flashing lights on police cruisers and ambulances can cause “digital epileptic seizures” in image-based automated driving systems, potentially risking wrecks.

The hype is fading, and people are asking what generative artificial intelligence is really good for. So far, no one has a decent answer.

AI risks arise not from AI acting on its own, but because of what people do with it.