Questions over AI Capability as Tech Guides Iran Strikes

Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
TT

Questions over AI Capability as Tech Guides Iran Strikes

Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP

The latest bout of fighting between the United States, Israel and Iran has seen AI deployed as never before to sift intelligence and select targets, although the technology's use in war remains hotly debated.

Different forms of artificial intelligence have reportedly been used to guide the Israeli campaign in Gaza and the capture of Venezuelan leader Nicolas Maduro in an American raid.

And experts believe the technology has helped select targets for the thousands of US and Israeli strikes on Iran since February 28 -- although exact uses have yet to be confirmed.

Today "every military power of any significance invests hugely in military applications of AI," said Laure de Roucy-Rochegonde of French think tank IFRI.

"Almost any military function can be boosted with AI," from "logistics to reconnaissance, observation, information warfare, electronic warfare and cybersecurity," she added.

AI tools can also be found built into semi-autonomous attack drones and other weapons.

But one of their best-known uses is in shortening the so-called "kill chain", the time and decision-making between detecting a target and striking it.

US forces use the Maven Smart System (MSS) built by Palantir, which the company says can identify and prioritize potential targets.

The Washington Post reported this week that Anthropic's Claude generative AI model has been integrated with Maven to boost the tool's detection and simulation capabilities.

Palantir and Anthropic did not respond to AFP's requests for comment.

AI algorithms "allow us to move much faster in handling information, and above all to be more comprehensive," said Bertrand Rondepierre, head of the French army's AI agency AMIAD.

The technology can sift through vast quantities of data, including "satellite images, radar, electromagnetic waves, sound, drone images and sometimes real-time video," he added.

Human control

AI's deployment in war poses a slew of moral and legal questions, notably on the extent of human control over their actions.

The debate was brought to the fore during the fighting in Gaza, where Israeli forces used a program dubbed "Lavender" to identify targets -- within a certain margin of error.

That application worked "because it covered a very limited area", de Roucy-Rochegonde said.

Israel also has a "mass surveillance system" that could feed data about the enclave's inhabitants into Lavender.

It seems less likely that such a system has been set up in Iran," she added.

"If something does go wrong, then who's responsible?" Peter Asaro, chair of the International Committee for Robot Arms Control (ICRAC), said in an interview with AFP.

The widely reported bombing of an Iranian school -- which authorities there say killed 150 people -- could be a case of mistaken AI targeting, he added.

Neither the United States nor Israel has acknowledged responsibility for the strike.

AFP was unable to reach the scene of the school to verify what happened there.

But the site was close to two facilities controlled by the Iranian Revolutionary Guard Corps (IRGC), Tehran's powerful ideological elite.

"They didn't distinguish it from the military base as they should have, (but) who is they?" he asked -- human or machine?

If AI was used, he argued that the key question is "how old was the data" used for the targeting, and whether the misdirected strike stemmed from "a database error".

Step by step

Rondepierre said that AIs "operating without anyone being in control" are "science fiction".

In France, at least, "military commanders are at the heart of the action and the design of these systems," he insisted.

"No military decision-maker would agree to use an AI if he didn't have trust in and control over what it's doing," Rondepierre added.

"They know what the risks involved are, what the capabilities of these systems are and what contexts they can use them in, with what level of trust."

Today was just the "beginning" on use of AI by the world's armed forces, said Benjamin Jensen of Washington-based think tank CSIS, who has taken part in tests of AI in military decision-making over the past decade.

The world's armies "haven't fundamentally rethought how we plan, how we conduct operations, to take advantage" of AI's capabilities, he added.

"It's going to take a generation for us to really figure this out."



Meta Enters Enterprise AI Race with New Business Agent

The logo of Meta at the Meta Lab in Los Angeles, California, US, May 20, 2026. (Reuters)
The logo of Meta at the Meta Lab in Los Angeles, California, US, May 20, 2026. (Reuters)
TT

Meta Enters Enterprise AI Race with New Business Agent

The logo of Meta at the Meta Lab in Los Angeles, California, US, May 20, 2026. (Reuters)
The logo of Meta at the Meta Lab in Los Angeles, California, US, May 20, 2026. (Reuters)

Meta Platforms on Wednesday unveiled an artificial intelligence agent aimed at helping businesses carry out day-to-day operations, positioning the social media giant as a player in the enterprise AI market.

Announced at the company's WhatsApp-focused Conversations conference in London, the new product expands on existing business messaging services by enabling "agentic" capabilities in which the assistant can take actions like booking calendar appointments and closing sales on behalf of businesses.

The company said more than 1 million businesses were already using earlier chatbot versions of such agents on WhatsApp and Messenger. The new version will be added to Instagram as well and rolled out globally to businesses of all sizes.

The move hints at Meta's ambitions to compete with rivals like OpenAI, Anthropic and Alphabet's Google in the market ‌for enterprise applications ‌of its AI tools, leveraging the reach of its WhatsApp, ‌Instagram ⁠and Facebook apps.

"This ⁠is definitely an enterprise play," Naomi Gleit, Meta's head of product, told Reuters in an interview on the sidelines of the conference.

The Business Agent can be customized to respond to queries on those apps, channeling a company's tone and handling tasks such as answering frequently asked questions, qualifying leads and escalating complex queries to human staff when needed.

Businesses will initially be able to access the tool for free, with paid subscription options planned in the coming months.

"We actually want to ⁠take actions now. We actually want it to be able to ‌complete the payment, to process the booking, to place ‌the order," going beyond "rule-based automations" for legacy bots, she said.

Alongside the new Business Agent offerings inside ‌Meta's apps, the company is also launching a broader "Business Agent Platform" aimed at giving businesses ‌the infrastructure to build custom AI agents to help them manage their operations elsewhere.

The platform is connected to hundreds of non-Meta systems like Shopify, Zendesk and Shopee, where those agents can be deployed, and provides larger businesses with enterprise-grade controls, guardrails and measurement, the company said.

Gleit is spearheading the company's efforts ‌to expand into new lines of business around AI agents, including with a new team, Enterprise Solutions, announced as part of a ⁠recent companywide restructuring around ⁠AI.

The team will send squads of forward-deployed engineers to embed with enterprise customers, a model used by AI companies such as Anthropic that is aimed at navigating internal politics around AI adoption and writing custom code to help models deliver results.

Its scope is currently focused on new business agents, but it is also working to build and sell agentic AI products that businesses can use for additional internal functions.

Gleit is also working to consolidate the different AI agents Meta has built, including internal workflow-oriented tooling, a user-facing Meta AI support bot and a separate ads-focused "business assistant" launched globally last month, she said.

"The number one thing I hear, especially from small businesses, is 'I just want to go to one place that can do all the things,'" she said.

"You want to make things modular, and you also need to be willing to evolve, because the technology is moving so quickly."


UK Allows Websites to Opt Out of Google AI Search

FILE PHOTO: The Google logo is pictured at the entrance to the Google offices in London, Britain January 18, 2019. REUTERS/Hannah McKay/File Photo
FILE PHOTO: The Google logo is pictured at the entrance to the Google offices in London, Britain January 18, 2019. REUTERS/Hannah McKay/File Photo
TT

UK Allows Websites to Opt Out of Google AI Search

FILE PHOTO: The Google logo is pictured at the entrance to the Google offices in London, Britain January 18, 2019. REUTERS/Hannah McKay/File Photo
FILE PHOTO: The Google logo is pictured at the entrance to the Google offices in London, Britain January 18, 2019. REUTERS/Hannah McKay/File Photo

Britain's competition watchdog said Wednesday that it had ordered Google to allow UK website owners to opt out of having their content used by the US technology giant's AI search.

According to AFP, the Competition and Markets Authority (CMA) called the change a "world first" after it had proposed the measure in January.

Website publishers, particularly media outlets, claim that artificial intelligence models take their content without compensation.

They also argue that the AI-generated summaries discourage clicks to publishers' original pages, reducing traffic to their sites and in turn cutting their advertising revenue.

Google said Wednesday that sites opting out would not receive traffic or impressions from its generative AI features.

In response to the opt-out ruling, Google said that "Today, we're beginning to test a new control that lets website owners manage how their links and content appear in generative AI search features," its Search Ecosystem general manager, Mrinalini Loew, said in a statement.

The CMA said the ruling "will secure a fairer deal for publishers and consumers.”

It added that Google is "required to make sure that publisher content is properly attributed, using clear links, in AI-generated search results.”

The CMA last year designated Google with "strategic market status,” subjecting it to tougher regulation alongside other technology giants.

"With features like (Google's) AI Overviews rapidly reshaping online search, it is crucial that content publishers, including news organizations, have appropriate bargaining power over how their content is used," CMA chief executive Sarah Cardell said in a statement.

AI Overviews currently have more than 2.5 billion monthly users, according to Google, which last month showed off plans to turn its traditional search bar into an AI assistant.


Intel Says Competition from Nvidia PC Chip a ‘Good Thing’

A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)
A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)
TT

Intel Says Competition from Nvidia PC Chip a ‘Good Thing’

A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)
A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)

Intel said Tuesday that competition in personal computer chips from hardware giant Nvidia as a "good thing" as artificial intelligence presents new business opportunities.

The comments come a day after Nvidia, the world's most valuable company, unveiled a powerful chip for Windows machines designed to run AI agents, tools that can carry out tasks for users.

The announcement from Nvidia is a challenge to legacy PC chipmakers including Intel and AMD, as well as Apple's laptop business.

"If you take a look at what they brought to market (Monday), I think it's a good thing," Alex Katouzian, general manager of Intel's client computing and physical AI group, told a news conference in Taipei.

"It shows the importance of how critical the PC is," he added.

"We welcome the competition, but I think we're going to do really well," he said, touting Intel's scale -- with "every segment covered" -- and the trust of its customer base.

"They want us to grow with them, there's new opportunities on the AI side," Katouzian said, calling the company's roadmap "super strong".

Shares in Intel took off late last year after Nvidia announced it would invest $5 billion in the firm.

And in April, the company smashed quarterly earnings expectations, in what could be a sign it is on a path to recovery.

Intel largely missed the smartphone boom and failed to develop competitive hardware for the AI era, allowing Asian manufacturers TSMC and Samsung to dominate the custom semiconductor market.

Most notably, Intel was blindsided by Nvidia's rise as the world's leading AI chip provider.

Nvidia's graphics processing units (GPUs), originally designed for gaming consoles, have become the essential building blocks of AI systems, with tech giants scrambling to secure them for their data servers and AI projects.

The heads of both companies are in Taipei this week for the major industry show Computex.

On Tuesday, Intel announced upgrades to its AI data center hardware offerings as well as new collaborations with supply chain partners such as Taiwan's Foxconn.

While several experts told AFP that Nvidia's competitors should be worried about its new PC chip for the AI era, the RTX Spark, others were more cautious.

"This move may create incremental pressure for Intel and Qualcomm; however, given the complexity and likely premium pricing, we don't expect significant competition with mainstream AI PCs," Bloomberg Intelligence analysts wrote.