
Arve Hjalmar Holmen complained to Norway’s data regulator.
A Norwegian man has filed a complaint after ChatGPT falsely told him he had killed two of his sons and been jailed for 21 years.
Arve Hjalmar Holmen has contacted the Norwegian Data Protection Authority and demanded the chatbot’s maker OpenAI is fined.
It is the latest example of so-called “hallucinations”, where artificial intelligence (AI) systems invent information and present it as fact.
Mr Holmen says this hallucination is damaging to him.
“Some think that there is no smoke without fire – the fact that someone could read this output and believe it is true is what scares me the most,” he said.
OpenAI says this case relates to a previous version of ChatGPT and it has since upload
Mr Holmen was given the false information after he used ChatGPT to search for: “Who is Arve Hjalmar Holmen?”
The response he got from ChatGPT included: “Arve Hjalmar Holmen is a Norwegian individual who gained attention due to a tragic event.
“He was the father of two young boys, aged 7 and 10, who were tragically found dead in a pond near their home in Trondheim, Norway, in December 2020.”
Mr Holmen said the chatbot got their age gap roughly right, suggesting it did have some accurate information about him.
Digital rights group Noyb, which has filed the complaint on his behalf, says the answer ChatGPT gave him is defamatory and breaks European data protection rules around accuracy of personal data.
Noyb said in its complaint that Mr Holmen “has never been accused nor convicted of any crime and is a conscientious citizen”.
ChatGPT carries a disclaimer which says: “ChatGPT can make mistakes. Check important info.”
Noyb says that is insufficient.
“You can’t just spread false information and in the end add a small disclaimer saying that everything you said may just not be true,” Noyb lawyer Joakim Söderberg said.
OpenAI said in a statement: “We continue to research new ways to improve the accuracy of our models and reduce hallucinations.
“While we’re still reviewing this complaint, it relates to a version of Chat GPT which has since been enhanced with online search capabilities that
Hallucinations are one of the main problems computer scientists are trying to solve when it comes to generative AI.
These are when chat bots present false information as facts.
Earlier this year, Apple suspended its Apple Intelligence news summary tool in the UK after it hallucinated false headlines and presented them as real news.
Google’s AI Gemini has also fallen foul of hallucination – last year it suggested sticking cheese to pizza using glue, and said geologists recommend humans eat one rock per day.
It is not clear what it is in the large language models – the tech which underpins chatbots – which causes these hallucinations.
“This is actually an area of active research. How do we construct these chains of reasoning? How do we explain what what is actually going on in a large language model?” said Simone Stumpf, professor of responsible and interactive AI at the University of Glasgow.
Prof Stumpf says that can even apply to people who work behind the scenes on these types of models.
“Even if you are more involved in the development of these systems quite often, you do not know how they actually work, why they’re coming up with this particular information that they came up with,” .
ChatGPT has changed its model since Mr Holmen’s search in August 2024, and now searches current news articles when it looks for relevant information.
Noyb told the BBC Mr Holmen had made a number of searches that day, including putting his brother’s name into the chatbot and it produced “multiple different stories that were all incorrect”.
They also acknowledged the previous searches could have influenced the answer about his children, but said large language models are a “black box” and OpenAI “doesn’t reply to access requests, which makes it impossible to find out more about what exact data is in the system.”
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**, we dive into why your electric bill is climbing and what can be done. ### Why Are Electricity Prices Rising? Electricity costs are soaring across the United States. According to the U.S. Energy Information Administration (EIA), household electricity prices are expected to jump 13% from 2022 to 2025. In some states, the increase is even steeper. For instance, Maine saw a 36.3% spike, while Connecticut faced an 18.4% rise between May 2024 and May 2025. Nationwide, the average household paid 17.47 cents per kilowatt-hour in May 2025, up from 16.41 cents a year earlier—a 6.5% increase. So, what’s driving these hikes? First, there’s a massive surge in electricity demand. More people are using air conditioners during hotter summers. Electric vehicles and heat pumps are also becoming popular. However, the biggest culprit is the rapid growth of AI-powered data centers. These facilities, run by tech giants like Amazon, Google, and Microsoft, use as much electricity as small cities. A single AI search, like one on ChatGPT, consumes 10 times more power than a regular Google search. Additionally, natural gas prices, a key fuel for power plants, have climbed. The aging US power grid also struggles to keep up. Many transmission lines and power plants date back to the post-World War II era. As a result, utilities are spending billions to upgrade infrastructure, and those costs are passed on to consumers. > **Data Highlight: Electricity Price Trends (2022-2025)** > Source: U.S. Energy Information Administration > - **2022**: 14.96 cents per kWh > - **2023**: 15.87 cents per kWh > - **2024**: 16.41 cents per kWh > - **2025 (May)**: 17.47 cents per kWh > *Note*: Some states like Maine (+36.3%) and Connecticut (+18.4%) saw sharper increases. ```chartjs { "type": "line", "data": { "labels": ["2022", "2023", "2024", "2025 (May)"], "datasets": [{ "label": "Average US Electricity Price (cents per kWh)", "data": [14.96, 15.87, 16.41, 17.47], "borderColor": "#007bff", "backgroundColor": "rgba(0, 123, 255, 0.2)", "fill": true }] }, "options": { "responsive": true, "maintainAspectRatio": false, "scales": { "y": { "beginAtZero": false, "title": { "display": true, "text": "Price (cents per kWh)" } }, "x": { "title": { "display": true, "text": "Year" } } } } } ``` ### The AI Power Problem The AI boom is transforming how we live, work, and search online. But it comes at a cost. Data centers that power AI tools are sprouting up fast. Between 2021 and 2024, the number of US data centers doubled. By 2030, they could consume 5% to 9% of the nation’s electricity, according to the Electric Power Research Institute. This is a big jump from just 4% in 2022. For example, PJM Interconnection, which serves 67 million people across 13 states, reported a massive spike in demand. In 2024, its capacity auction prices jumped 833%, with data centers driving nearly 70% of the increase. This led to higher bills for households in states like Pennsylvania, New Jersey, and Ohio. In Columbus, Ohio, typical electric bills rose by $27 a month in 2025. Moreover, AI tasks are energy hogs. Generating a single high-definition AI image uses as much power as charging a smartphone halfway. As more people use AI for work or fun, the strain on the grid grows. Tech companies are racing to build bigger data centers, but the power supply isn’t keeping up. This mismatch is pushing prices higher. > **Image**: An Amazon Web Services data center in Boardman, Oregon, August 2024. (Source: Jenny Kane/AP) > *Caption*: Data centers like this one are driving up electricity demand across the US. ### Other Factors Behind the Price Surge While AI is a major player, it’s not the only reason for rising bills. Natural gas prices have spiked, making it more expensive to generate electricity. Also, the US power grid is old and needs upgrades. The Department of Energy says 70% of transmission lines are nearing the end of their lifespan. Replacing them costs billions, and consumers foot the bill. Extreme weather is another issue. Heat waves and storms are more frequent, forcing utilities to repair or harden the grid. In California, utilities spent $27 billion from 2019 to 2023 on wildfire prevention and insurance. These costs trickle down to customers. Meanwhile, some states are phasing out coal plants, but new renewable energy projects face delays due to permitting issues. For more insights on how energy costs affect households, check out **[AMERICA NEWS WORLD (ANW)](https://america112.com/)** for the latest updates. ### Solutions to Ease the Burden Thankfully, there are ways to tackle rising electricity costs. First, experts suggest speeding up the permitting process for new power plants, especially solar and wind. The International Energy Agency (IEA) predicts that solar and wind could add 110 terawatt-hours of power for data centers by 2030. Streamlining permits could bring these projects online faster. Next, tech companies are stepping up. Google recently signed deals to reduce AI data center power use during peak grid times. Amazon is investing in small modular nuclear reactors to power its operations cleanly. These efforts could lower costs and emissions in the long run. Additionally, hardening the grid can help. In Florida, utilities are using concrete poles and advanced tech to make power lines hurricane-proof. In California, moving lines underground reduces wildfire risks. These upgrades cost money upfront but save on repairs later. Finally, power purchase agreements (PPAs) let data centers buy renewable energy directly. This reduces reliance on fossil fuels and keeps costs down for consumers. Co-locating data centers with solar or wind farms is another smart move. For more on clean energy solutions, visit **[AMERICA NEWS WORLD (ANW)](https://america112.com/)**. > **Data Highlight: Projected Data Center Power Demand** > Source: Electric Power Research Institute > - **2022**: 4% of US electricity consumption > - **2030 (Projected)**: 5% to 9% of US electricity consumption > - **Growth**: Data center energy use could double by 2030. ```chartjs { "type": "bar", "data": { "labels": ["2022", "2030 (Projected)"], "datasets": [{ "label": "Data Center Electricity Consumption (% of US Total)", "data": [4, 7], "backgroundColor": ["#28a745", "#dc3545"], "borderColor": ["#28a745", "#dc3545"], "borderWidth": 1 }] }, "options": { "responsive": true, "maintainAspectRatio": false, "scales": { "y": { "beginAtZero": true, "title": { "display": true, "text": "% of US Electricity" } }, "x": { "title": { "display": true, "text": "Year" } } } } } ``` ### What’s Next for Consumers? Electricity prices may keep rising if demand outpaces supply. The White House warns that AI data centers could push prices up 9-58% by 2030 without new investments. The US needs $1.4 trillion by 2030 to meet growing power needs, according to the White House Council of Economic Advisors. This includes building new power plants and transmission lines. However, not all hope is lost. Renewable energy is getting cheaper. Solar and wind projects are expanding, and nuclear power is making a comeback. For example, Microsoft is reviving Pennsylvania’s Three Mile Island nuclear plant to power its AI tools. These efforts could stabilize prices over time. Consumers can also take action. Using energy-efficient appliances, sealing home leaks, and switching to LED lights can lower bills. ### Global Impact and Local Action The AI-driven power surge isn’t just a US problem—it’s global. Data centers worldwide could consume 3-4% of global power by 2030, up from 1-2% today, according to Goldman Sachs. In Europe, countries like Ireland and Germany are seeing similar price hikes. In Asia, Malaysia’s data centers could account for one-fifth of power demand growth. Locally, communities near data centers face challenges. Noise, water use, and power outages are common complaints. Some states, like Pennsylvania, are pushing back. Governor Josh Shapiro has threatened to pull the state from PJM if costs don’t drop. For more on local energy issues, ### Looking Ahead The AI revolution is exciting, but it’s putting pressure on power grids and wallets. While tech companies and utilities work on solutions, consumers are stuck with higher bills. By investing in clean energy, upgrading grids, and managing demand, the US can balance innovation with affordability. Stay informed with **[AMERICA NEWS WORLD (ANW)](https://america112.com/)** for the latest energy news. For a deeper dive into how AI is reshaping the energy landscape, check out this [CBS News article](https://www.cbsnews.com/news/ai-data-centers-electricity-demand-power-grid-us/) on the growing strain on US power grids.](https://america112.com/wp-content/uploads/2025/08/1198006_3_0818-NPRICES-lines-lede.jpg_standard-1.jpg)








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