How Government Data Would Give an AI Company Extraordinary Power

The Ministry of Governmental efficiency, or Doge, has obtained an unprecedented access to at least seven federal databases, including the rules of the Internal Revenue and Social Security Department. This arrival raised concerns about cybersecurity and privacy violations. Another concern has received much less attention: the possible use of data to train the private company’s artificial intelligence systems.

The White House press secretary said that the government data collected by Dog is not used to train Amnesty International models in Musk, although Elon Musk dominated Doge. However, evidence that Doug’s employees have been occupied simultaneously positions with at least one of Musk companies.

In the Federal Aviation Administration, SpaceX employees have government email addresses. This double work creates a federal data channel that is likely to be charm to the institutions owned by musk, including Xai. The Grok Ai Chatbot model in the company clearly rejects a clear denial about the use of this data.

As a political and technical scientist on a close knowledge of public sources of government data, I think this possible transfer of government data to private companies offers much greater effects of privacy and power, which is determined by most reports. A special entity with the ability to develop artificial intelligence technologies can be used by government data to jump its competitors and officials on society.

The value of government data for Amnesty International

For artificial intelligence developers, government databases represent something closer to finding the Holy Jes. While companies such as Openai, Google and Xai are currently dependent on the information that has been scattered from the public internet, the governmental governmental warehouses provide more valuable: records verified for actual human behavior across the entire population.

This is not just more data – it’s mainly different data. Publications of social media and the date of web browsing show coordinated or intended behaviors, but government databases pick up real decisions and their consequences. For example, Medicare records reveal health care options and their results. The Tax and Treasury Authority reveals financial decisions and long -term effects. Federal employment and education statistics revealed education paths and job paths.

What makes this data is of special value for artificial intelligence training is its longitudinal nature and reliability. Unlike the turbulent information available on the Internet, government records follow unified protocols, and are undergoing regular audits and must meet the legal requirements for accuracy. All social security payments, Medicare’s demand and federal grant create a verified data point about the real world’s behavior. There is no data anywhere else with this expansion and originality in the United States

More importantly, government databases follow the entire population over time, not only digitally active users. It includes people who never use social media, not shop online, or actively avoid digital services. For AI, this means the actual diversity training systems of human experience rather than just the digital reflections that people throw online.

Technical feature

Current artificial intelligence systems face basic restrictions that cannot be overcome any number of broken data from the Internet. When Chatgpt or Google Gemini makes mistakes, they are often trained in information that may be common but not necessarily correct. They can tell you what people say about the effects of politics, but they cannot follow these effects across the population and years.

Government data can change this equation. Imagine the training of the artificial intelligence system not only on opinions on health care but on actual treatment results across millions of patients. Consider the difference between learning from social media discussions on economic policies and analyzing their true effects through different societies and Successor for decades.

The large, modern, or limits that have been trained in government statements can be understood, including actual relations between policies and results. Unintended consequences can be followed across different population sectors, modeling complex community systems while verifying the health of the real world and predicting the effects of proposed changes based on historical evidence. For companies that seek to create artificial intelligence systems from the next generation, access to this data will lead to the creation of an almost uninterrupted feature.

Control of critical systems

A company like Xai can do much more through the models trained on government data more than building chat groups or content generators better. These systems can mainly turn – and may control – how people understand and manage complex social systems. While some of these capabilities can be useful under the control of the responsible public agencies, I think they are a threat in the hands of one private company.

Medicare and Medicaid databases contain treatments, results and costs across various groups for decades. The border model trained on new government data can determine the treatment patterns that succeed as others fail, and thus dominate the healthcare industry. This model can understand how different interventions affect the various population over time, as factors such as geographical location, social and economic situation and simultaneous conditions.

The company, which exercises the model, can affect the health care policy by showing highly predictive capabilities and visions at the market level of pharmaceutical companies and insurance companies.

Treasury data may be the most valuable prize. Governmental financial databases contain lovely details about how money flows through the economy. This includes actual time transactions data through federal payment systems, full records of tax payments, recovery amounts, detailed patterns of benefits distributions, and government contracting payments with performance standards.

The artificial intelligence company that has access to this data can develop unusual capabilities for economic prediction and market prediction. It can design the successive effects of regulatory changes, predict economic weakness before they become crises, and impossible to improve investment strategies with impossible accuracy through traditional methods.

Infrastructure and urban systems

Government databases contain information about the patterns of using critical infrastructure, maintenance date, emergency response times and development effects. Each federal scholarship, infrastructure examination and response to emergency situations create a data point that can help in training artificial intelligence to understand how cities and regions work better.

The force lies in the potential interdependence of these data. The artificial intelligence system trained in government infrastructure records would understand how transport patterns affect energy use, how housing policies affect emergency response times, and how infrastructure investments affect economic development across regions.

A private company with an exclusive arrival will get a unique vision in the material and economic arteries of the American society. This may allow the company to develop the “smart city” systems that the city’s governments will be dependent on, and the privatization of aspects of urban governance effectively. When it is associated with data in the actual time from private sources, the predictive capabilities will exceed what any current system can achieve.

Absolute data completely spoils

A company like Xai, with Musk resources and preferential access through Doge, can overcome technical and political obstacles much more easily than competitors. Recent developments in machine learning also reduced the burden of data preparation for algorithms for processing, making government data a real golden mine – rightly belonging to the American people.

The threat of a private company to access government data exceeds individual privacy concerns. Even with the removal of personal identifiers, the artificial intelligence system that analyzes patterns across millions of government records can enable sudden possibilities in making predictions and influencing behavior at the population level. The threat is artificial intelligence systems that benefit from government data to influence society, including electoral results.

Since information is strength, the concentration of unprecedented data in the hands of a special entity with an explicit political agenda is a deep challenge to the republic. I think the question is whether the American people can stand before corruption that is likely to break democracy, such a focus that will enable this focus. If not, the Americans must prepare to become digital topics instead of human citizens.

Alison Stanger, distinguished professor, Midelbury

This article of the conversation is republished under the Creative Community Licensing. Read the original article.