Google Rolls Back New Satellite Image AI Tool after Backlash

Google corporate headquarters campus stands in Mountain View, California, USA, 23 July 2026. EPA/GODOFREDO A. VASQUEZ
Google corporate headquarters campus stands in Mountain View, California, USA, 23 July 2026. EPA/GODOFREDO A. VASQUEZ
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Google Rolls Back New Satellite Image AI Tool after Backlash

Google corporate headquarters campus stands in Mountain View, California, USA, 23 July 2026. EPA/GODOFREDO A. VASQUEZ
Google corporate headquarters campus stands in Mountain View, California, USA, 23 July 2026. EPA/GODOFREDO A. VASQUEZ

Google rolled back Friday a new feature allowing Google Earth users to generate AI visualizations on top of the service's satellite imagery, following a furious backlash from researchers and open-source intelligence experts about the potential for disinformation.

"We've seen geospatial professionals using this feature for a range of useful purposes, however we've also seen people sharing screenshots of generated imagery that appear to violate our policies," a Google spokesperson said in a statement to AFP. "So we're rolling back this feature in Google Earth while we work on implementing stronger guardrails."

"We know that people uniquely trust Google Earth for a reliable view of the world," the statement added.

The "create image" tool, unveiled Thursday, had integrated Google's Nano Banana 2 image-generation technology into Google Earth, letting users zoom into locations and build pictures in seconds based on the program's satellite, aerial and 3D-mapping data.

Google had described it as a way to "visualize history, create real estate plans and more."

But disinformation researchers warned that it could enable bad actors to misuse Google Earth -- a key resource for fact-checking and verification -- to create realistic geospatial fakes.

"Google spent 20 years building the reference the world checks against," digital investigations expert Henk Van Ess wrote in one widely shared post on Substack. "Today it added a button that makes things up."

Brady Africk, a research analyst at the American Enterprise Institute specializing in satellite imagery analysis, told AFP the Google Earth update would have made it "easier to generate convincing fake satellite imagery that can spread quickly online and mislead the public."

Such fakes "erode public trust in satellite imagery, and make the jobs of journalists and researchers more difficult," he said.

As the critiques piled up, Google had said on X that the images created with the feature included SynthID digital watermarks, invisible markers embedded in media generated using the company's artificial intelligence tools.

"We take misinformation seriously," the company wrote, linking to an AI policy that instructs users against "misinformation, misrepresentation or misleading activities."

AFP's tests of the feature on Friday were able to fabricate satellite images that could have had serious global consequences: an explosion in Paris, a nuclear site in Iran, a bomb crater in Russia and an Islamic State group training ground in Syria.

The tool also fulfilled prompts to visualize other fake scenes, including floods across Bangladesh, a migrant caravan camped at the US-Mexico border and a suspicious warehouse holding vans in Georgia -- one of several states US President Donald Trump has falsely accused of widespread election fraud.

The "create image" button no longer appeared within Google Earth after Google paused its use.

Similar fakes have previously had real-world impacts. In 2023, an AI image depicting an explosion at the Pentagon briefly rattled the markets.

Early in the US war with Iran, an AI-altered satellite image depicting a destroyed US military base garnered millions of views across platforms.

Among the groups that called for Google to reverse its decision was the London-based Centre for Information Resilience, whose executive director Ross Burley told AFP the feature was "irresponsible."

"Trust in satellite imagery has taken decades to build and could be irrevocably damaged overnight," Burley said.

GeoConfirmed, a volunteer-driven open-source intelligence project that verifies visuals from conflicts around the globe, had also urged Google to reconsider.

"We are already observing individuals exploiting the new Google Earth web tool to make military positions, relabel buildings as schools, and experiment with manipulating the information environment," the group wrote on X, before Google announced it was rolling back the feature.

"The primary, and perhaps only, practical use of this tool appears to be the creation and dissemination of mis- and disinformation."



Google DeepMind Chair: AI Could Cause 'Major' Incidents Within 2 Years Without Safeguards

Sir Demis Hassabis, Co-Founder and Chair of Google DeepMind at the International AI Summit at the Royal Dublin Society (RDS) in Dublin, Ireland, 14 October 2026.  EPA/BRYAN MEADE
Sir Demis Hassabis, Co-Founder and Chair of Google DeepMind at the International AI Summit at the Royal Dublin Society (RDS) in Dublin, Ireland, 14 October 2026. EPA/BRYAN MEADE
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Google DeepMind Chair: AI Could Cause 'Major' Incidents Within 2 Years Without Safeguards

Sir Demis Hassabis, Co-Founder and Chair of Google DeepMind at the International AI Summit at the Royal Dublin Society (RDS) in Dublin, Ireland, 14 October 2026.  EPA/BRYAN MEADE
Sir Demis Hassabis, Co-Founder and Chair of Google DeepMind at the International AI Summit at the Royal Dublin Society (RDS) in Dublin, Ireland, 14 October 2026. EPA/BRYAN MEADE

Artificial intelligence systems could cause "major" incidents within two years without adequate steps to make them safe as capabilities grow, Google's DeepMind chair Demis Hassabis said on Wednesday.

Speaking at an AI conference in Dublin, Hassabis described recent incidents as "early warning shots" fired by systems that "aren't that powerful yet."

"So the incidents aren't that major, but they could be looking into next year and the next couple of years if we don't do more work as an industry and individually as companies and governments on securing these systems," he said.


Why AI Makes Computer Worms Harder to Stop

Letters spelling "AI," a keyboard and a robotic hand in this illustration created on September 23, 2026. (Reuters)
Letters spelling "AI," a keyboard and a robotic hand in this illustration created on September 23, 2026. (Reuters)
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Why AI Makes Computer Worms Harder to Stop

Letters spelling "AI," a keyboard and a robotic hand in this illustration created on September 23, 2026. (Reuters)
Letters spelling "AI," a keyboard and a robotic hand in this illustration created on September 23, 2026. (Reuters)

Anthropic's warning that AI-powered "worms" could soon spread across smart gadgets is the latest in a series of studies showing how artificial intelligence could supercharge self-spreading malware.

A computer worm is malicious software that spreads between devices on its own.

In June, Nicolas Papernot, an associate professor of electrical and computer engineering at the University of Toronto, led a team that built a prototype AI worm using freely available AI models.

Papernot, who has signed an open letter with recommendations for policymakers, spoke to AFP about why AI makes these attacks harder to stop.

The interview has been edited for length and clarity.

Q: How is AI changing these types of attacks?

A: The reality is that a lot of these "IoT" (Internet of Things or connected home) devices have very poor cybersecurity hygiene, and so they are very easy targets for bad actors to compromise.

Historically, a worm would exploit a fixed set of vulnerabilities, and that meant you could fix these vulnerabilities and prevent the worm from propagating any further to devices that had been updated.

Now, with AI, an attacker can design a worm that tailors the attack strategy to that device's specifics and these vulnerabilities can be different.

This makes it significantly harder to interrupt the propagation of an AI-driven computer worm, because you have to anticipate all the possible vulnerabilities the devices might present.

Some of these vulnerabilities are not software bugs.

They can also be misconfigurations -- for instance, if someone has used the same password for multiple services, or hasn't configured a database properly.

What AI-driven malware does is accelerate the pace at which these vulnerabilities are exploited and the scale.

In the past, your corner coffee shop, or the laptop in your basement that you use very rarely, might not be up to date, but it wouldn't be targeted by a human attacker, because they don't have the resources and the time to do that.

Now, the autonomy gained by using AI means that all these devices that are less immediate targets become interesting targets as a launchpad to attack more interesting targets.

But we have to keep in mind that a human is launching an agent.

Once launched, the agent can replicate, as we showed in our work, but it is launched by a human.

Q: What can we do to mitigate the risks?

A: We won't bring the risk to zero and we have to realize that, despite the fact that some of these vulnerability fixes are available, people don't update their devices or don't apply the fixes in a timely manner.

Despite cybersecurity experts calling for increased cybersecurity for decades, we still live in a world where a lot more can be invested in improving the security of our computer systems.

There are really three things we recommend in the very short term.

The first is to change development and testing practices to ensure that AI models are initially disconnected from the internet, as a precaution, to understand their behavior better before we expose critical infrastructure on the internet [to them].

The second recommendation is to create an international body to standardize both how we train and how we contain AI models. Both are important. We want to train models that are safer.

The last part is about making reporting of security incidents mandatory. Right now, we are only getting information as a function of what AI developers are willing to release, and that's a big problem.

In particular, the academic community needs a lot more information about incidents to be able to develop countermeasures much more quickly.

Otherwise, we have to do a lot of research on understanding the threat first, before we can develop the countermeasures. Otherwise, we won't see what bad actors are doing until an attack is launched.


Microsoft’s Brad Smith Calls for ‘Real and Effective’ AI Safety Standards

Microsoft Vice Chair and President Brad Smith addresses a keynote in Brussels, Belgium April 30, 2025. (Reuters)
Microsoft Vice Chair and President Brad Smith addresses a keynote in Brussels, Belgium April 30, 2025. (Reuters)
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Microsoft’s Brad Smith Calls for ‘Real and Effective’ AI Safety Standards

Microsoft Vice Chair and President Brad Smith addresses a keynote in Brussels, Belgium April 30, 2025. (Reuters)
Microsoft Vice Chair and President Brad Smith addresses a keynote in Brussels, Belgium April 30, 2025. (Reuters)

Microsoft president Brad Smith warned Tuesday that industry and governments must "act with urgency" to create "real and effective safety standards" to contain the risks linked to artificial intelligence.

"We're going to need for AI what we have for everything else in life... we need real and effective safety standards, and we need the public to have confidence in them," Smith told a group of reporters on the eve of an international AI summit in Dublin.

Concerns about AI safety have soared in recent months after models developed by OpenAI and Anthropic were involved in security incidents during testing, piling on pressure to regulate the technology.

"We've reached a point where we obviously need companies in the industry to step up and do more to address AI safety issues," Smith said. "I think we reached a time when we're going to need governments to do more as well."

The Microsoft boss outlined the company's proposals to strengthen safety across the sector, starting with a requirement that AI agents be equipped with "safety brakes" that users could activate in the event of an incident.

"The notion, especially for any AI that's running on critical infrastructure or some other kind of automated system, they have the ability to turn off or slow down," he explained.

Smith also called for AI providers to face mandatory incident-reporting obligations.

"If you are a business and you suffer a security breach that leads to the loss of consumer data, you have to let consumers know," he said. "The same logic should apply to people harmed by an AI agent," with a legal obligation to inform those affected.

The Microsoft president further advocated stronger testing and evaluation of AI models before they are released, to ensure they are safe.

"We need to act with urgency," he warned.

Smith is the latest in a series of leading industry figures to highlight the need for increased vigilance around AI technology. Among them, Dario Amodei, chief executive of Anthropic, has pledged to slow development unilaterally if necessary.

Nvidia CEO Jensen Huang on Tuesday said AI company leaders must take responsibility for ensuring the technology is developed safely.

Speaking in Paris, Huang said: "The full potential of AI can only be realized if we advance the capabilities of AI and the safety and security of AI at the same time."

"These are not conflicting goals. These are, in fact, the same goal."