ІНСАЙДЕР УКРАЇНА

The Tana River delta on the Kenyan coast includes a vast range of habitats and a remarkably productive ecosystem, says UNESCO. It is also home to many bird species, including some that are nearly threatened. Residents are helping local conservation efforts with an app called eBird. Juma Majanga reports.
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U.S. federal prosecutors are stepping up their pursuit of suspects who use artificial intelligence tools to manipulate or create child sex abuse images, as law enforcement fears the technology could spur a flood of illicit material.

The U.S. Justice Department has brought two criminal cases this year against defendants accused of using generative AI systems, which create text or images in response to user prompts, to produce explicit images of children.

“There’s more to come,” said James Silver, the chief of the Justice Department’s Computer Crime and Intellectual Property Section, predicting further similar cases.

“What we’re concerned about is the normalization of this,” Silver said in an interview. “AI makes it easier to generate these kinds of images, and the more that are out there, the more normalized this becomes. That’s something that we really want to stymie and get in front of.”

The rise of generative AI has sparked concerns at the Justice Department that the rapidly advancing technology will be used to carry out cyberattacks, boost the sophistication of cryptocurrency scammers and undermine election security. 

Child sex abuse cases mark some of the first times that prosecutors are trying to apply existing U.S. laws to alleged crimes involving AI, and even successful convictions could face appeals as courts weigh how the new technology may alter the legal landscape around child exploitation. 

Prosecutors and child safety advocates say generative AI systems can allow offenders to morph and sexualize ordinary photos of children and warn that a proliferation of AI-produced material will make it harder for law enforcement to identify and locate real victims of abuse.

The National Center for Missing and Exploited Children, a nonprofit group that collects tips about online child exploitation, receives an average of about 450 reports each month related to generative AI, according to Yiota Souras, the group’s chief legal officer.

That’s a fraction of the average of 3 million monthly reports of overall online child exploitation the group received last year.

Untested ground

Cases involving AI-generated sex abuse imagery are likely to tread new legal ground, particularly when an identifiable child is not depicted.

Silver said in those instances, prosecutors can charge obscenity offenses when child pornography laws do not apply.

Prosecutors indicted Steven Anderegg, a software engineer from Wisconsin, in May on charges including transferring obscene material. Anderegg is accused of using Stable Diffusion, a popular text-to-image AI model, to generate images of young children engaged in sexually explicit conduct and sharing some of those images with a 15-year-old boy, according to court documents.

Anderegg has pleaded not guilty and is seeking to dismiss the charges by arguing that they violate his rights under the U.S. Constitution, court documents show.

He has been released from custody while awaiting trial. His attorney was not available for comment.

Stability AI, the maker of Stable Diffusion, said the case involved a version of the AI model that was released before the company took over the development of Stable Diffusion. The company said it has made investments to prevent “the misuse of AI for the production of harmful content.”

Federal prosecutors also charged a U.S. Army soldier with child pornography offenses in part for allegedly using AI chatbots to morph innocent photos of children he knew to generate violent sexual abuse imagery, court documents show.

The defendant, Seth Herrera, pleaded not guilty and has been ordered held in jail to await trial. Herrera’s lawyer did not respond to a request for comment.

Legal experts said that while sexually explicit depictions of actual children are covered under child pornography laws, the landscape around obscenity and purely AI-generated imagery is less clear. 

The U.S. Supreme Court in 2002 struck down as unconstitutional a federal law that criminalized any depiction, including computer-generated imagery, appearing to show minors engaged in sexual activity. 

“These prosecutions will be hard if the government is relying on the moral repulsiveness alone to carry the day,” said Jane Bambauer, a law professor at the University of Florida who studies AI and its impact on privacy and law enforcement.

Federal prosecutors have secured convictions in recent years against defendants who possessed sexually explicit images of children that also qualified as obscene under the law. 

Advocates are also focusing on preventing AI systems from generating abusive material. 

Two nonprofit advocacy groups, Thorn and All Tech Is Human, secured commitments in April from some of the largest players in AI including Alphabet’s Google, Amazon.com, Facebook and Instagram parent Meta Platforms, OpenAI and Stability AI to avoid training their models on child sex abuse imagery and to monitor their platforms to prevent its creation and spread. 

“I don’t want to paint this as a future problem, because it’s not. It’s happening now,” said Rebecca Portnoff, Thorn’s director of data science.

“As far as whether it’s a future problem that will get completely out of control, I still have hope that we can act in this window of opportunity to prevent that.”
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In a year with over 60 national elections worldwide, concerns are high that individuals and entities are using deepfake images and recordings to contribute to the flood of election misinformation. VOA’s Rio Tuasikal reports on some potentially dangerous videos made using generative AI.
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Meta’s independent content watchdog said Thursday there were “serious questions” about how the social media giant deals with anti-immigrant content, particularly in Europe. 

The Oversight Board, established by Meta in 2020 and sometimes called its “supreme court,” launched a probe after seeing a “significant number” of appeals over anti-immigrant content. 

The board has chosen two symbolic cases — one from Germany and the other from Poland — to assess whether Meta, which owns Facebook and Instagram, is following human rights law and its own policies on hate speech. 

Helle Thorning-Schmidt, co-chair of the board and a former Danish prime minister, said it was “critical” to get the balance right between free speech and protection of vulnerable groups. 

“The high number of appeals we get on immigration-related content from across the EU tells us there are serious questions to ask about how the company handles issues related to this, including the use of coded speech,” she said in a statement. 

The first piece of content to be assessed by the board was posted in May on a Facebook page claiming to be the official account of Poland’s far-right Confederation party. 

An image depicts Polish Prime Minister Donald Tusk looking through a peephole with a black man approaching him from behind, accompanied by text suggesting his government would allow immigration to surge. 

Meta rejected an appeal from a user to take down the post despite the text including a word considered by some as a racial slur. 

In the other case, an apparently AI-generated image was posted on a German Facebook page showing a blond-haired blue-eyed woman, a German flag and a stop sign. 

The accompanying text likens immigrants to “gang rape specialists.”  

A user complained but Meta decided to not to remove the post.  

“The board selected these cases to address the significant number of appeals, especially from Europe, against content that shares views on immigration in ways that may be harmful towards immigrants,” the watchdog said in a statement. 

The board said it wanted to hear from the public and would spend “the next few weeks” discussing the issue before publishing its decision. 

Decisions by the board, funded by a trust set up by Meta, are not binding, though the company has promised to follow its rulings. 
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BEIJING — China’s state security ministry said that a foreign company had been found to have illegally conducted geographic mapping activities in the country under the guise of autonomous driving research and outsourcing to a licensed Chinese mapping firm.

The ministry did not disclose the names of either company in a statement on its WeChat account on Wednesday.

The foreign company, ineligible for geographic surveying and mapping activities in China, “purchased a number of cars and equipped them with high-precision radar, GPS, optical lenses and other gear,” read the statement.

In addition to directly instructing the Chinese company to conduct surveying and mapping in many Chinese provinces, the foreign company appointed foreign technicians to give “practical guidance” to mapping staffers with the Chinese firm, enabling the latter to transfer its acquired data overseas, the ministry alleged.

Most of the data the foreign company has collected have been determined to be state secrets, according to the ministry, which said state security organs, together with relevant departments, had carried out joint law enforcement activities.

The affected companies and relevant responsible personnel have been held legally accountable, the state security ministry said, without elaborating.

China has strictly regulated mapping activities and data, which are key to developing autonomous driving, due to national security concerns. No foreign firm is qualified for mapping in China and data collected by vehicles made by foreign automakers such as Tesla in China has to be stored locally.

The U.S. Commerce Department has also proposed prohibiting Chinese software and hardware in connected and autonomous vehicles on American roads due to national security concerns.

Also on Wednesday, a Chinese cybersecurity industry group recommended that Intel products sold in China should be subject to a security review, alleging the U.S. chipmaker has “constantly harmed” the country’s national security and interests.
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BEIJING — Intel products sold in China should be subject to a security review, the Cybersecurity Association of China (CSAC) said on Wednesday, alleging the U.S. chipmaker has “constantly harmed” the country’s national security and interests. 

While CSAC is an industry group rather than a government body, it has close ties to the Chinese state and the raft of accusations against Intel, published in a long post on its official WeChat group, could trigger a security review from China’s powerful cyberspace regulator, the Cyberspace Administration of China (CAC). 

“It is recommended that a network security review is initiated on the products Intel sells in China, so as to effectively safeguard China’s national security and the legitimate rights and interests of Chinese consumers,” CSAC said. 

Last year, the CAC barred domestic operators of key infrastructure from buying products made by U.S. memory chipmaker Micron Technology Inc after deeming the company’s products had failed its network security review. 

Intel did not immediately respond to a request for comment. The company’s shares were down 2.7% in U.S. premarket trading.  

 
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LONDON — Some of the most prominent artificial intelligence models are falling short of European regulations in key areas such as cybersecurity resilience and discriminatory output, according to data seen by Reuters.

The EU had long debated new AI regulations before OpenAI released ChatGPT to the public in late 2022. The record-breaking popularity and ensuing public debate over the supposed existential risks of such models spurred lawmakers to draw up specific rules around “general-purpose” AIs.

Now a new tool designed by Swiss startup LatticeFlow and partners, and supported by European Union officials, has tested generative AI models developed by big tech companies like Meta and OpenAI across dozens of categories in line with the bloc’s wide-sweeping AI Act, which is coming into effect in stages over the next two years.

Awarding each model a score between 0 and 1, a leaderboard published by LatticeFlow on Wednesday showed models developed by Alibaba, Anthropic, OpenAI, Meta and Mistral all received average scores of 0.75 or above.

However, the company’s “Large Language Model (LLM) Checker” uncovered some models’ shortcomings in key areas, spotlighting where companies may need to divert resources in order to ensure compliance.

Companies failing to comply with the AI Act will face fines of $38 million or 7% of global annual turnover.

Mixed results

At present, the EU is still trying to establish how the AI Act’s rules around generative AI tools like ChatGPT will be enforced, convening experts to craft a code of practice governing the technology by spring 2025.

But LatticeFlow’s test, developed in collaboration with researchers at Swiss university ETH Zurich and Bulgarian research institute INSAIT, offers an early indicator of specific areas where tech companies risk falling short of the law.

For example, discriminatory output has been a persistent issue in the development of generative AI models, reflecting human biases around gender, race and other areas when prompted.

When testing for discriminatory output, LatticeFlow’s LLM Checker gave OpenAI’s “GPT-3.5 Turbo” a relatively low score of 0.46. For the same category, Alibaba Cloud’s 9988.HK “Qwen1.5 72B Chat” model received only a 0.37.

Testing for “prompt hijacking,” a type of cyberattack in which hackers disguise a malicious prompt as legitimate to extract sensitive information, the LLM Checker awarded Meta’s “Llama 2 13B Chat” model a score of 0.42. In the same category, French startup Mistral’s “8x7B Instruct” model received 0.38.

“Claude 3 Opus,” a model developed by Google-backed Anthropic, received the highest average score, 0.89.

The test was designed in line with the text of the AI Act, and will be extended to encompass further enforcement measures as they are introduced. LatticeFlow said the LLM Checker would be freely available for developers to test their models’ compliance online.

Petar Tsankov, the firm’s CEO and cofounder, told Reuters the test results were positive overall and offered companies a roadmap for them to fine-tune their models in line with the AI Act.

“The EU is still working out all the compliance benchmarks, but we can already see some gaps in the models,” he said. “With a greater focus on optimizing for compliance, we believe model providers can be well-prepared to meet regulatory requirements.”

Meta declined to comment. Alibaba, Anthropic, Mistral, and OpenAI did not immediately respond to requests for comment.

While the European Commission cannot verify external tools, the body has been informed throughout the LLM Checker’s development and described it as a “first step” in putting the new laws into action.

A spokesperson for the European Commission said: “The Commission welcomes this study and AI model evaluation platform as a first step in translating the EU AI Act into technical requirements.”
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LONDON — The world is on the brink of a new age of electricity with fossil fuel demand set to peak by the end of the decade, meaning surplus oil and gas supplies could drive investment into green energy, the International Energy Agency said on Wednesday.

But it also flagged a high level of uncertainty as conflicts embroil the oil and gas-producing Middle East and Russia and as countries representing half of global energy demand have elections in 2024.

“In the second half of this decade, the prospect of more ample – or even surplus – supplies of oil and natural gas, depending on how geopolitical tensions evolve, would move us into a very different energy world,” IEA Executive Director Fatih Birol said in a release alongside its annual report.

Surplus fossil fuel supplies would likely lead to lower prices and could enable countries to dedicate more resources to clean energy, moving the world into an “age of electricity,” Birol said.

In the nearer term, there is also the possibility of reduced supplies should the Middle East conflict disrupt oil flows.

The IEA said such conflicts highlighted the strain on the energy system and the need for investment to speed up the transition to “cleaner and more secure technologies.”

A record-high level of clean energy came online globally last year, the IEA said, including more than 560 gigawatts (GW) of renewable power capacity. Around $2 trillion is expected to be invested in clean energy in 2024, almost double the amount invested in fossil fuels.

In its scenario based on current government policies, global oil demand peaks before 2030 at just less than 102 million barrels/day (mb/d), and then falls back to 2023 levels of 99 mb/d by 2035, largely because of lower demand from the transport sector as electric vehicle use increases.

The report also lays out the likely impact on future oil prices if stricter environmental policies are implemented globally to combat climate change.

In the IEA’s current policies scenario, oil prices decline to $75 per barrel in 2050 from $82 per barrel in 2023.

That compares to $25 per barrel in 2050 should government actions fall in line with the goal of cutting energy sector emissions to net zero by then.

Although the report forecasts an increase in demand for liquefied natural gas (LNG) of 145 billion cubic meters (bcm) between 2023 and 2030, it said this would be outpaced by an increase in export capacity of around 270 bcm over the same period.

“The overhang in LNG capacity looks set to create a very competitive market at least until this is worked off, with prices in key importing regions averaging $6.5-8 per million British thermal units (mmBtu) to 2035,” the report said.

Asian LNG prices, regarded as an international benchmark are currently around $13 mmBtu.
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Israel has become the top target of Iranian cyberattacks since the start of the Gaza war last year, while Tehran had focused primarily on the United States before the conflict, Microsoft said Tuesday.

“Following the outbreak of the Israel-Hamas war, Iran surged its cyber, influence, and cyber-enabled influence operations against Israel,” Microsoft said in an annual report.

“From October 7, 2023, to July 2024, nearly half of the Iranian operations Microsoft observed targeted Israeli companies,” said the Microsoft Digital Defense Report.

From July to October 2023, only 10 percent of Iranian cyberattacks targeted Israel, while 35 percent aimed at American entities and 20 percent at the United Arab Emirates, according to the US software giant.

Since the war started Iran has launched numerous social media operations with the aim of destabilizing Israel.

“Within two days of Hamas’ attack on Israel, Iran stood up several new influence operations,” Microsoft said.

An account called “Tears of War” impersonated Israeli activists critical of Prime Minister Benjamin Netanyahu’s handling of a crisis over scores of hostages taken by Hamas, according to the report.

An account called “KarMa”, created by an Iranian intelligence unit, claimed to represent Israelis calling for Netanyahu’s resignation. 

Iran also began impersonating partners after the war started, Microsoft said.

Iranian services created a Telegram account using the logo of the military wing of Hamas to spread false messages about the hostages in Gaza and threaten Israelis, Microsoft said. It was not clear if Iran acted with Hamas’s consent, it added.

“Iranian groups also expanded their cyber-enabled influence operations beyond Israel, with a focus on undermining international political, military, and economic support for Israel’s military operations,” the report said.

The Hamas terror attack on October 7, 2023, resulted in the deaths of 1,206 people, mostly civilians, according to an AFP tally of official Israeli figures, including hostages killed in captivity.  

Israel’s retaliatory military campaign in Gaza has killed 42,289 people, the majority civilians, according to the health ministry in the Hamas-run territory. The U.N. has described the figures as reliable. 
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As energy-hungry computer data centers and artificial intelligence programs place ever greater demands on the U.S. power grid, tech companies are looking to a technology that just a few years ago appeared ready to be phased out: nuclear energy. 

After several decades in which investment in new nuclear facilities in the U.S. had slowed to a crawl, tech giants Microsoft and Google have recently announced investments in the technology, aimed at securing a reliable source of emissions-free power for years into the future.  

Earlier this year, online retailer Amazon, which has an expansive cloud computing business, announced it had reached an agreement to purchase a nuclear energy-fueled data center in Pennsylvania and that it had plans to buy more in the future. 

However, the three companies’ strategies rely on somewhat different approaches to the problem of harnessing nuclear energy, and it remains unclear which, if any, will be successful. 

Energy demand 

Data centers, which concentrate thousands of powerful computers in one location, consume prodigious amounts of power, both to run the computers themselves and to operate the elaborate systems put in place to dissipate the large amount of heat they generate.  

A recent study by Goldman Sachs estimated that data centers currently consume between 1% and 2% of all available power generation. That percentage is expected to at least double by the end of the decade, even accounting for new power sources coming online. The study projected a 160% increase in data center power consumption by 2030. 

The U.S. Department of Energy has estimated that the largest data centers can consume more than 100 megawatts of electricity, or enough to power about 80,000 homes. 

Small, modular reactors 

Google’s plan is, in some ways, the most radical departure — both from the current structure of the energy grid and from traditional means of generating nuclear power. The internet search giant announced on Monday that it has partnered with Kairos Power to fund the construction of up to seven small-scale nuclear reactors that, across several locations, would combine to generate 500 megawatts of power. 

The small modular reactors (SMRs) are a new, and largely untested, technology. Unlike sprawling nuclear plants, SMRs are compact, requiring much less infrastructure to keep them operational and safe. 

“The smaller size and modular design can reduce construction timelines, allow deployment in more places, and make the final project delivery more predictable,” Google and Kairos said in a press release.  

The companies said they intend to have the first of the SMRs online by 2030, with the rest to follow by 2035. 

Great promise 

Sola Talabi, president of Pittsburgh Technical, a nuclear consulting firm, told VOA that SMR technology holds great promise for the future. He said that the plants’ small size will eliminate many of the safety concerns that larger reactors present. 

For example, some smaller reactors generate so much less heat than larger reactors that they can utilize “passive” cooling systems that are not susceptible to the kind of mechanical failures that caused disaster at Japan’s Fukushima plant in 2011 and the Soviet Union’s Chernobyl plant in 1986.  

Talabi, who is also an adjunct faculty member in nuclear engineering at the University of Pittsburgh and University of Michigan, said that SMRs’ modular nature will allow for rapid deployment and substantial cost savings as time goes on. 

“Pretty much every reactor that has been built [so far] has been built like it’s the first one,” he said. “But with these reactors, because we will be able to use the same processes, the same facilities, to produce them, we actually expect that we will be able to … achieve deployment scale relatively quickly.” 

Raising doubts 

Not all experts are convinced that SMRs are going to live up to expectations. 

Edwin Lyman, director of nuclear power safety for the Union of Concerned Scientists, told VOA that the Kairos reactors Google is hoping to install use a new technology that has never been tested under real-world conditions.

“At this point, it’s just hope without any real basis in experimental fact to believe that this is going to be a productive and reliable solution for the need to power data centers over the medium term,” he said. 

He pointed out that the large-scale deployment of new nuclear reactors will also result in the creation of a new source of nuclear waste, which the U.S. is still struggling to find a way to dispose of at scale.  

“I think what we’re seeing is really a bubble — a nuclear bubble — which I suspect is going to be deflated once these optimistic, hopeful agreements turn out to be much harder to execute,” Lyman said. 

Three Mile Island 

Microsoft and Amazon have plotted a more conventional path toward powering their data centers with nuclear energy. 

In its announcement last month, Microsoft revealed that it has reached an agreement with Constellation Energy to restart a mothballed nuclear reactor at Three Mile Island in Pennsylvania and to use the power it produces for its data operations. 

Three Mile Island is best known as the site of the worst nuclear disaster in U.S. history. In 1979, the site’s Unit 2 reactor suffered a malfunction that resulted in radioactive gases and iodine being released into the local environment.  

However, the facility’s Unit 1 reactor did not fail, and it operated safely for several decades. It was shut down in 2019, after cheap shale gas drove the price of energy down so far that it made further operations economically unfeasible. 

It is expected to cost $1.6 billion to bring the reactor back online, and Microsoft has agreed to fund that investment. It has also signed an agreement to purchase power from the facility for 20 years. The companies say they believe that they can bring the facility back online by 2028. 

Amazon’s plan, by contrast, does not require either new technology or the resurrection of an older nuclear facility. 

The data center that the company purchased from Talen Energy is located on the same site as the fully operational Susquehanna nuclear plant in Salem, Pennsylvania, and draws power directly from it. 

Amazon characterized the $650 million investment as part of a larger effort to reach net-zero carbon emissions by 2040. 
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NAIROBI, KENYA — More than 400 delegates and organizations working in Africa’s farming sector are in Nairobi, Kenya, this week to discuss how digital agriculture can improve the lives of farmers and the continent’s food system.

Tech innovators discussed the need for increased funding, especially for women.

In past decades, African farmers have struggled to produce enough food to feed the continent.

DigiCow is one of the tech companies at the conference that says it has answers to the problem. The Kenya-based company says it provides farmers with digital recordkeeping, education via audio on an app, and access to financing and marketing.

Maureen Saitoti, DigiCow’s brand manager, said the platform has improved the lives of at least half a million farmers.

“Other than access to finance, it is also able to offer access to the market because a farmer is able to predict the harvest they are anticipating and begin conversations with buyers who have also been on board on the platform,” she said. “So, this has proven to provide a wholesome integration of the ecosystem, supporting small-scale farmers.”

Integrating digital systems into food production helps farmers gain access to seed, fertilizer and loans, and helps prevent pests and diseases on farms, organizers said.

Innovation in agriculture technology is seen as helping reach marginalized groups, including women.

Sieka Gatabaki, program director for Mercy Corps AgriFin, which is in 40 countries working with digital tool providers to increase the productivity and incomes of small-scale farmers, said his organization stresses education and practical information.

“We also focus on agronomic advice that gives the farmers the right kind of skills and knowledge to execute on their farms, as well as precision information such as weather that enables them to make the right decisions [about] how they grow and when they should grow and what they should grow in different geomatic climates,” Gatabaki said.

“Then we definitely expect that those farmers will increase their productivity and income.”

According to the State of AgTech Investment Report 2024, farming attracted $1.6 billion in funding in the past decade. But experts say the current funding is not enough to meet the sector’s growing demands.

David Saunder, director of strategy and growth at Briter Bridges, says funding systems have evolved to cope with problems faced by farmers and the food industry.

“Funding follows those businesses, those startups, that can viably grow and scale their businesses, and that’s what we are trying to do with AgTech to increase the data and information on those,” he said.

During the meeting, tech developers, experts and donors will also discuss how artificial intelligence and alternative data could be used to improve productivity.
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