Google Launches New Satellite Image AI Tool, Alarming Researchers

FILE PHOTO: The new Google logo is seen in this illustration taken May 13, 2025. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: The new Google logo is seen in this illustration taken May 13, 2025. REUTERS/Dado Ruvic/Illustration/File Photo
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Google Launches New Satellite Image AI Tool, Alarming Researchers

FILE PHOTO: The new Google logo is seen in this illustration taken May 13, 2025. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: The new Google logo is seen in this illustration taken May 13, 2025. REUTERS/Dado Ruvic/Illustration/File Photo

Google announced a new feature allowing Google Earth users to generate AI visualizations on top of the service's satellite imagery, sparking concerns from researchers and open-source intelligence experts about the potential for disinformation.

The "create image" tool, rolled out Thursday, integrates Google's Nano Banana 2 image-generation technology to let users zoom into locations and build images in seconds based on Google Earth satellite, aerial and 3D-mapping data.

The company unveiled the feature as a way to "visualize history, create real estate plans and more." But disinformation researchers are warning 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 on Substack. "Today it added a button that makes things up."
"The forgery does not have to look convincing on its own," Van Ess added. "It inherits the credibility of the map it was born on."

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

"These AI-generated fakes, growing more common, may also erode public trust in satellite imagery, and make the jobs of journalists and researchers more difficult."

In a response to AFP on X, Google said images created with the feature include SynthID digital watermarks, invisible markers embedded in media generated using the company's artificial intelligence tools. Users can ask Google's Gemini chatbot if a SynthID is present.

"We take misinformation seriously," the company wrote.

Google's statement said the company prevents "image creation on harmful topics" and its AI policy instructs users against "misinformation, misrepresentation or misleading activities."

Yet AFP's tests of the feature Friday were able to fabricate satellite images that could have serious global consequences: an explosion in Paris, a nuclear site in Iran, a bomb crater in Russia and an ISIS 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 housing vans in Georgia -- one of several states US President Donald Trump has falsely accused of widespread election fraud.

Similar fakes have 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.

"I cannot stress how irresponsible this is," Ross Burley, executive director of the London-based Centre for Information Resilience, told AFP. "Trust in satellite imagery has taken decades to build and could be irrevocably damaged overnight."

The group is calling on Google to reverse the decision, Burley said.

GeoConfirmed, a volunteer-driven open-source intelligence project that verifies visuals from conflicts around the globe, 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.

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



TikTok Reaches $400 Million Settlement with US Justice Department over Children's Privacy

FILED - 24 August 2022, North Rhine-Westphalia, Cologne: The logo of Tik Tok is seen at Gamescom. Photo: Rolf Vennenbernd/dpa
FILED - 24 August 2022, North Rhine-Westphalia, Cologne: The logo of Tik Tok is seen at Gamescom. Photo: Rolf Vennenbernd/dpa
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TikTok Reaches $400 Million Settlement with US Justice Department over Children's Privacy

FILED - 24 August 2022, North Rhine-Westphalia, Cologne: The logo of Tik Tok is seen at Gamescom. Photo: Rolf Vennenbernd/dpa
FILED - 24 August 2022, North Rhine-Westphalia, Cologne: The logo of Tik Tok is seen at Gamescom. Photo: Rolf Vennenbernd/dpa

TikTok has reached a $400 million settlement with the US Department of Justice, ending a 2024 lawsuit alleging the company violated federal children's privacy laws.

The DOJ said Friday that TikTok will pay $300 million immediately and another $100 million after an order vacates an earlier consent decree against its predecessor company, Musical.ly.

“This settlement is a major victory for American children and parents,” said US Associate Attorney General Stanley E. Woodward Jr. in a statement. “The Department’s priority is ensuring that children are protected online and that companies entrusted with their personal information meet their legal obligations. This resolution secures a substantial recovery while reinforcing the protections that families expect and deserve.”

Since the DOJ's lawsuit in 2024, TikTok has undergone major changes, most notably in the ownership structure of its US arm. In January, the social video platform company signed agreements with major investors including Oracle, Silver Lake and MGX to form the new TikTok US joint venture.

Representatives for TikTok did not immediately respond to a message for comment Friday.

The latest lawsuit focused on allegations that TikTok and its China-based parent company ByteDance violated a federal law that requires kid-oriented apps and websites to get parental consent before collecting personal information of children under 13. It also says the companies failed to honor requests from parents who wanted their children’s accounts deleted, and chose not to delete accounts even when the firms knew they belonged to kids under 13.

The settlement comes as social media companies face an avalanche of lawsuits over children's safety and privacy and a growing number of countries are banning young kids and teens from social media apps. Instagram's parent company, Meta Platforms, is currently on trial in federal court in Oakland, California, over allegations it violated the 1998 Children’s Online Privacy Protection Act, or COPPA, along with various state statutes.


How AI Is Changing Event Discovery, Booking

Nadeem Bakhsh, chief executive and co-founder of webook.com (Company handout)
Nadeem Bakhsh, chief executive and co-founder of webook.com (Company handout)
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How AI Is Changing Event Discovery, Booking

Nadeem Bakhsh, chief executive and co-founder of webook.com (Company handout)
Nadeem Bakhsh, chief executive and co-founder of webook.com (Company handout)

A night out can start with a simple question: “What should we do tonight?”

That is where traditional search can struggle. It works best when users already know the event, date, or location they want. Booking platforms are now using artificial intelligence to tackle the opposite problem: first understanding vague intent, then turning it into options that can actually be booked.

Nadeem Bakhsh, chief executive and co-founder of webook.com, says the platform’s AI booking agent was not built because existing search tools were failing. It was designed to add another layer of discovery for users who do not yet know exactly what they want.

Speaking to Asharq Al-Awsat, Bakhsh said search and filters remain effective when users have a clear target. Open-ended questions, however, require the system to understand context before it can surface the right option.

From keywords to intent

In its first version, the agent uses natural language processing in Arabic and English and can handle informal requests that include location, preferences, group type or booking criteria.

Users do not need to know an event’s name or phrase their request like a search query, Bakhsh said. They can simply ask for a family activity, a nearby experience or something available in the evening.

The system then interprets the request, identifies the relevant details and matches them with options in the platform’s live catalog.

If key information is missing, the agent is designed to ask for clarification rather than produce a generic list that may not fit the user’s needs.

That makes accuracy central to the experience. The more discovery shifts from explicit search to conversation, the greater the risk that a question will be misunderstood or misinterpreted.

When the agent gets it wrong

Bakhsh acknowledges that mistakes are part of using AI systems.

The agent, he said, “should not pretend to know.” If a request is unclear or incomplete, it should ask for more information rather than force an unreliable recommendation.

The official booking page remains the final authority on availability, prices, fees and event terms. If information changes or tickets sell out before a purchase is completed, the details shown in the official booking flow take precedence over anything said earlier in the conversation.

When the agent cannot verify information, Bakhsh said, it should direct the user to official event details or human support.

A correction from the user may also help improve the next response, but Bakhsh does not present that as a guarantee that the same mistake will not happen again.

Recommendation or advertising?

Trust becomes a commercial issue when the agent is not only finding events, but ranking and recommending them.

Bakhsh said the system is meant to match user intent with options that are genuinely available to book, not present paid advertising as personal advice.

Recommendations are based on criteria supplied by the user, including location, timing, group type and activity preference, as well as live availability.

Any paid or sponsored placement, he said, should be clearly labeled so users can distinguish an organic recommendation from commercial content.

“Trust depends on making that distinction clear,” Bakhsh said.

One journey, several channels

The experience becomes more complicated when the conversation starts outside the booking platform itself, on services such as X, Instagram or WhatsApp.

Bakhsh said the agent uses information users choose to provide, such as location, timing, group type, interests and booking criteria, to make suggestions more relevant.

Public interactions remain limited to discovery. Once greater privacy is required, the conversation moves to a private channel and then into webook.com’s secure booking environment.

Card details and other sensitive personal information should not be requested through public posts, comments or direct messages on social media, he said.

Personal data remains subject to the platform’s privacy policy and to legal and regulatory retention requirements.

Bakhsh also said data is not treated as freely transferable from one channel to another. Any personalization depends on the permissions granted by the user and the purpose for which the data was collected.

What webook.com builds — and what it does not

The agent is not built entirely with in-house technology.

Bakhsh said webook.com develops and operates the core product layer and orchestration system. That includes understanding booking intent, linking it to the catalog, applying product logic, generating recommendations and directing users into the secure booking flow.

External infrastructure is used when needed for language-model processing, cloud services and access to channels such as X, Instagram and WhatsApp.

Those providers supply infrastructure or distribution channels, Bakhsh said, but they do not own the event inventory, booking logic or customer journey.

The company does not disclose vendor architecture or security-sensitive implementation details.

Bakhsh also stressed that the agent remains in beta and can make mistakes. Users should verify event details and final booking information on the official page before completing a transaction.

Discovery ends where the transaction begins

One of the main safeguards in the system is the separation between conversation and payment.

The agent may respond to a general request in a public space, but when privacy becomes necessary, it moves the interaction into a private channel and then directs the user to an official, identity-linked booking flow.

It does not request card details or sensitive information through social media posts, comments, or direct messages.

Bakhsh said this structure helps limit the impact of prompt manipulation, impersonation, fraudulent accounts, and fake booking links.

The conversational layer can help users find an event, but it cannot bypass the inventory, account, pricing, or payment controls on the official platform.

The agent does not set the price

Once a user moves from discovery to purchase, the agent’s role stops at a clear boundary.

Options come from the live catalog, but the official booking page remains the authoritative transaction interface.

Before confirming, users see current availability, the final price, booking fees and event-specific terms, including cancellation and refund policies.

The agent cannot change those terms or guarantee that a ticket will still be available while a user waits.

Age restrictions and accessibility requirements are shown only when they appear in the official event details. If the information is unclear, the system is not supposed to guess.

AI, in other words, changes how users reach an option. It does not change the contractual terms or controls governing the purchase.

Bakhsh also links the agent to a broader framework called TruFan, while drawing a distinction between the two.

The AI agent operates at the start of the journey, turning natural-language requests into bookable options.

TruFan addresses a different stage: integrity and access to high-demand events, by helping identify genuine, verified fans and giving them priority.


Apple Paid 40% of its Global Taxes to Ireland in Last Fiscal Year

FILE PHOTO: An Apple logo and a computer motherboard appear in this illustration taken August 25, 2025. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: An Apple logo and a computer motherboard appear in this illustration taken August 25, 2025. REUTERS/Dado Ruvic/Illustration/File Photo
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Apple Paid 40% of its Global Taxes to Ireland in Last Fiscal Year

FILE PHOTO: An Apple logo and a computer motherboard appear in this illustration taken August 25, 2025. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: An Apple logo and a computer motherboard appear in this illustration taken August 25, 2025. REUTERS/Dado Ruvic/Illustration/File Photo

Apple paid Ireland $17.1billion in taxes last year, representing around 40% of its worldwide total, according to a company filing that detailed the iPhone maker's global tax liabilities country-by-country.

Apple said the amount paid to Ireland was "significantly higher" than income taxes accrued as it included €13 billion ($15.18 billion) in back taxes that it was ordered to pay Ireland by European Union's top court in 2024, Reuters reported.

Ireland fought the EU back-tax bill alongside Apple for eight years, seeking to defend its position as the location of choice for US multinationals in Europe - and the billions of euros in direct and indirect taxes they bring in each year.

In 2016, the European Commission's competition chief at the time, Margrethe Vestager, accused Ireland of having granted Apple illegal tax benefits, unfairly diverting investment away from other countries.

Apple paid $43.2 billion in income taxes worldwide in the fiscal year that ended in September 2025.