Will AI regulations come into force with a delay? This is what she wanted, among other things. Poland


He points out that the plan presented on Wednesday would mean that the application of high-risk AI rules will depend on when the standards are completed, but the European Council and the European Parliament will still need to agree to a delay.
“In an unforeseen move, the EU executive wants to link the entry into force of the regulations with a delay in work on artificial intelligence standards, which has intensified calls to 'stop the clock' on the Artificial Intelligence Act,” writes Euractiv.
It is worth noting that Some EU countries, including Poland, wanted to delay the regulations. The administration of US President Donald Trump and the largest technology companies also lobbied hard to suspend the regulations.
See also: Google invests billions in AI in Germany. I asked about Poland, and the president mentioned three conditions
Under Wednesday's proposal, the rules will come into force after a transition period, once the European Commission confirms that companies have access to standards and other support tools. However, it is not known when exactly this will happen.
The rest of the article is below the video
Euractiv suggests that for AI systems in specific critical use cases such as law enforcement and education, the commission sets a “maximum” delay for the regulations to come into force until December 2027 — or until August 2028 for other use cases.
EU regulations on artificial intelligence. Divided opinions
Many EU governments have welcomed the proposal to pause high-risk AI rules, but the response from those working on widely criticized AI standards has not been overwhelmingly positive.
According to a source involved in the work on artificial intelligence (AI) standards quoted by Euractiv, more time is certainly needed, but this carries the risk that pressing pause may create a dangerous precedent — may be a tactic to even change the law.
See also: Small and medium-sized companies benefit from digitalization. How not to get left behind? [RAPORT]
The Council and Parliament will now have to adopt their positions on the commission's digital package and then agree a common position.
“This may prove to be an obstacle as other initiatives to simplify the law have met with strong resistance from left-wing lawmakers to the European People's Party (EPP) of European Commission President Ursula von der Leyen,” notes Euractiv.
The portal adds that social democrats, liberals and greens have already expressed their dissatisfaction.
Lawmakers' challenges related to artificial intelligence
The use of artificial intelligence carries many potential threats. One of the main concerns is data security, as AI systems often need large amounts of personal information, which can lead to privacy breaches.
Another threat is the risk of errors or bias in decisions made by AI, for example at work, in banking or in the justice system, which may result in unfair treatment of people. Artificial intelligence may also replace humans at work, leading to job losses in some sectors and increasing social inequality.
There is also a risk of using AI for criminal purposes, such as cyberattacks, forging documents or creating deepfakes, which are misleading and may damage the reputation of people or institutions.
For European lawmakers, the main challenge is to strike a balance between innovation and security. They must create regulations that protect citizens against abuses, but at the same time do not block the development of new technologies. An important task is to define clear rules of liability for decisions made by AI, so that the creators or users of the systems can be held accountable.
Another challenge is to make algorithms transparent so that people can understand how decisions are made. Regulations must also take into account risks related to data security and privacy protection, as well as prevent discrimination resulting from errors in AI systems.
Additionally European law must be flexible enough to keep up with the rapid pace of technological development, while anticipating the consequences for the labor market and social life. In practice, this means difficult decisions and the need to work closely with technology experts, scientists and social organizations.




