Musk fired tens of thousands of employees from the Federal Government (Doge) Department (Doge), allegedly requires that the remaining workers send an email department that contains five bullets that describe those weeks.
Since it is no doubt that floods are dogged with hundreds of thousands of these types of emails, musk relies on artificial intelligence for processing response and assistance in determining who should remain employed. Part of that plan is alleged and replaced by many government workers with AI systems.
It is not yet clear that any of these AI systems appears or how they work – what Democrats in the United States congress is required to fill in “but experts warn in a federal government without robust testing and checking these tools could have catastrophic consequences.
“To use the tools responsibly, they need to be designed with a specific purpose in mind. It is necessary to test them. It is not clear whether any of that is done here,” says Cary Coglianese, a professor of law and political science at the University of Pennsylvania.
Coglianese says that if and is used to make decisions about who should be broken out of their business, he would be “very skeptical” that approach. He says there is a very real potential for errors, that he would be biased and for other potential problems.
“It’s a very bad idea. We don’t know anything about how to make such decisions (including the decisions of such decisions,” says it is reliable, “says it is reliable,” says Shobita Panthasarathy, professor Public policies at the University of Michigan.
These concerns do not seem to withhold the current government, especially with musk – a million businessman and a close advisor to the US President Donald Trump – a leading charge for these efforts.
For example, the U.S. Department of State plans to use AI to scan the social media of foreign nationals to identify anyone who can be an interior of Hamas in an effort to recall their visas. The US government has not so far been transparent on how they can do these types of systems.
Undiscovered damage
“Trump administration is really interested in performing AI, and I would like to see fair, just and fair use of AI,” says Hilke Schellmann, Professor of Journalism at New York University and an artificial intelligence expert. “It could be a lot of damage they go undiscovered.”
And experts say there are many ways in which government use and may go wrong, which is why it is necessary to adopt carefully and conscientiously. Coglianese says governments around the world, including the Netherlands and Great Britain, had problems with a weakly executed AI that can make mistakes and to make a bias and as they misreprable the well-being of the population, for example, for example.
In the US, the Michigan State had a problem with AI used to find fraud in their unemployment system when misdistified thousands of cases alleged fraud. Many of those rejected benefits were sharply resolved, including affected by multiple penalties and accused of deceive. People were arrested and even filed for bankruptcy. After a five-year period, the state admitted that the system was defective and a year later, completed a $ 21 million return for the inhabitants of the wrong accused of fraud.
“Most of the time, officers who buy and deploy these technologies a little know how they work, their bias and restrictions and mistakes,” says Parchasarathy. “Because low income and otherwise marginalized communities have the most contact with governments through social services (such as unemployed benefits, foster care, law enforcement), usually affected by the most important issued AI.”
AI also caused problems in the government when used in the courts to determine things like one’s conditional eligibility or in police departments when used to try for predictions where it is likely to be declared declared.
Schellmann says that and which police departments are usually trained about historical data from these departments, and this can cause and recommend conferences, especially the colors community.
Ai doesn’t understand anything
One of the problems with potentially using AI for replacing workers in the Federal Government is that there are so many different types of jobs in the Government that require special skills and knowledge. IT people in the Ministry of Justice can have a very different job from one in the Ministry of Agriculture, for example, although they have the same job title. The AI program, therefore, would have to be complex and highly trained that even mediocre business for replacing the human worker.
“I don’t think you can randomize people’s job, and then (replace them any ai),” Coglianese says. “The tasks that these people performed are often highly specialized and specific.”
Schellmann says you could use AI to make parts of one’s business that could be predictable or repeating, but you can’t just replace someone. This would be theoretically important to be possible if you would spend years by developing real AI tools to do many, many different types of jobs – a very difficult task, not what makes it seem right now.
“These workers have real expertise and tinted understanding of questions, and not. Ai No, in fact, he doesn’t understand anything,” says Panthasarathy. “It is the use of computer methods to find patterns based on historical data. And so it is likely to have a limited service, and even strengthen historical bias.”
Management Board of the American President Joe Biden issued Executive order in 2023. He focused on the responsible use of AI in the Government and how and test and check, but that order was abolished by Trump Administration in January. Schellmann says it has made it less likely to be used to be used in government responsibly or that researchers will be able to understand how and in use.
All this said, if he develops responsibly, it can be very useful. AI can automate recurring tasks so that workers can focus on more important things or help workers to solve the problems they fight. But that is necessary to be time to schedule in the correct way.
“It’s not saying that we can’t use the tools wisely,” Coglianese says. “But governments stray when they try to rush and do things quickly without proper public entrance and fundamental validation and verification as the algorithm actually works.”
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2025-03-13 19:23:00
