Norwegian man lodges complaint after ChatGPT mistakenly claims he committed filicide

A Norwegian man has lodged a complaint against the company responsible for ChatGpt after mistakenly accusing the chatbot of murdering two children.

Arve Hjalmar Holmen, a self-described “ordinary person” not publicly known in Norway, received a response from ChatGpt falsely suggesting that he had killed his son while seeking information about himself.

Chatgpt responded with, “Who is Arve Hjalmar Holmen? Arve Hjalmar Holmen is a Norwegian individual who gained notoriety due to tragic events. He was the father of two young boys, aged 7 and 10, who were sadly found dead in a pond near Trondheim, Norway in December 2020.”

The response claimed that the incident had shocked the nation, and Holman was supposedly sentenced to 21 years in prison for the murder of both children.

In his complaint to the Norwegian Data Protection Agency, Holmen stated that the fabricated story contained personal details resembling his own life, including his hometown, number of children, and the age gap between his sons.

“The petitioner was deeply disturbed by these inaccuracies, which could negatively impact his personal life if shared in his community or hometown,” stated the complaint submitted by Holmen and the Digital Rights Campaign Group Neub.

It was also mentioned that Holman has never been accused or convicted of any crime and is a law-abiding citizen.

Holmen’s complaint alleged that ChatGpt’s defamatory response violated the accuracy clause of the GDPR European Data Act. He requested the Norwegian watchdog to instruct Openai, the parent company of ChatGpt, to remove incorrect information related to him and adjust the model to avoid such errors. Noyb noted that Openai had released a new model incorporating web search functionality since Holmen’s interaction with ChatGpt.

AI chatbots operate based on predictive models for generating responses, which can sometimes lead to inaccuracies and false claims. Despite this, users often assume the information provided is entirely accurate due to the responses appearing plausible.

An Openai spokesperson stated, “We are continuously exploring ways to enhance model accuracy and reduce erroneous outputs. While we are still reviewing this specific complaint, it pertains to an earlier version of ChatGPT that has since been updated with an online search feature to enhance accuracy.”

Source: www.theguardian.com

Chinese AI Startup Profoundly Committed to Advancing Humanity through Science Looks to Expand into the US Market

Amid rising geopolitical tensions, many Chinese tech companies are recalibrating their overseas operations, often avoiding mention of their origins. A bold startup DP technology Stand out in the crowd. Working on the application of artificial intelligence to molecular simulations, DP (short for “Deep Potential”) believes that the collective power of “scientific research for humanity” will pave the way for its global expansion.

Founded in 2018 with renowned mathematician Weinan E as an advisor, DP provides a set of tools for performing scientific calculations. A process in which “computer simulations of mathematical models play an essential role in technology development and scientific research.” according to Definition by University of Waterloo. Areas that can benefit from scientific computing include: From biopharmaceutical research and automobile design to semiconductor development.

While the world is currently focused on using AI to generate text, images, and videos, DP is focusing on machine learning, which allows computers to automatically learn from the data they are given, and the real world. We found ourselves in a less developed field of combining molecular simulations for analysis. Products and systems via virtual models. Machine learning can be applied in combination to improve the speed and accuracy of simulations to solve problems in the physical world.

“Until now, in the absence of good computing or AI platforms, everyone relied on empirical trial and error. The process was often referred to as ‘cooking’ or ‘alchemy.'” DP CEO and founder Sun Weijie said in an interview with TechCrunch.

This approach was relatively effective in the early stages of industrial development, when user expectations for iteration were not very high, but now [technological] “It’s progress,” he continued. “For example, consumers expect increased battery capacity every year and performance improvements with each new generation of vehicles. Traditional R&D models can no longer withstand these rapid market changes. you can’t.”

“Meeting the expectations of these rapid iterations will require breakthrough advances in research and development approaches,” he added.

To this end, DP has devised a software suite to help industry players discover and develop new products more efficiently. One is that we run a scientific computing platform that allows us to simulate physical properties such as magnetism, optics, and electricity. As a result of running these models, materials such as semiconductors and batteries can be designed faster and cheaper. He also operates his SaaS platform focused on preclinical research for drug discovery.

DP goes one step further by not only supplying software to industrial researchers and designers, but by selling services tailored to their needs and carrying out research and development processes for customers who cannot fully exploit the potential of their tools. I’m here.

This combination of SaaS and services business model has proven some early success in China. DP is expected to win contracts worth around 100 million yuan ($14 million) in 2023, up from “tens of millions of yuan” last year. The company is now preparing to bring that strategy to Western markets, where deep-pocketed giants like DeepMind dominate the space.

“There’s an old saying in China: ‘Children from poor families grow up early.’ We’re the poor kids compared to the likes of DeepMind and OpenAI because we have much less money on hand.” Sun said.

To date, the DP has focused on the following issues: $140 million Selected from a lineup of top Chinese VC firms, including Qiming Venture Partners and Hillhouse Ventures. For reference, 13-year-old DeepMind was acquired by Google in 2014 for over $500 million. The London-based AI giant made a whopping £477 million ($650 million) in 2020, reporting a profit of £44 million ($60 million). ) losses in 2019.

Sun claimed that despite having its physical headquarters in Beijing, DP was conceived with a global mindset thanks to the open source scientific and technical computing community it founded. deep modeling. Early stops in China were also more accidental than intentional. “Since international exchange has stopped due to the COVID-19 pandemic, we decided to stop and work on monetization.” [in China] “For the first two years,” Sun said.

DP’s international expansion begins in the United States, where it opens offices and works with partners to market its products and services. The startup, which is looking to establish a presence in new markets, is looking to boost its reputation by leveraging the open source community and participating in what Sun describes as a relatively “close-knit” basic research exhibition. There is.

On the other hand, the DP’s international ambitions may run into obstacles from the ongoing decoupling that divides the United States and China in many areas, including scientific research. For example, back in August, Biden administration stretched narrowly The scientific partnership has underpinned U.S.-China relations since 1979.

But Sun exuded confidence in science’s resilience in the face of geopolitical complexity. “Both the fields of basic science and biopharmaceuticals are shared by all of humanity and are relatively open and inclusive. Relatively speaking, I think these regions are doing okay,” he said.

Source: techcrunch.com