Former Google CEO warns ‘bin Laden landscape’ for AI: ‘They could misuse it and do real harm’. Mint

Artificial Intelligence has been a hot theme for the last two years, and recently recently recently with the recent AI summit in Paris and the rise of China’s Deepsek. Since the arrival of Chatgpt in late 2022, governments around the world are struggling with how to regulate AI to balance security with economic progress.

Now, in an interview with BBC, former Google CEO Eric Schmid has added more fuel to the fire, it is said that he is worried about a “bin Laden landscape” for AI, where “evil states” new Trying to harm innocent people using technology.

“I am always concerned about ‘Osama bin Laden’ scenario, where you have some corrupt person who handles some aspects of our modern life and use it to harm innocent people,” Told BBC.

“North Korea, or Iran, or even think of Russia, who have some bad goals,” Schmit said to make AI weapons in the wrong hands to make “a bad biological attack from some bad person” Can be used.

“This technique is enough for them to adopt them to misuse it and do real harm,” Schmit said

Governments need to monitor AI companies:

Accepting that AI in Futre is going to be built to a large extent by private companies, Schmid said that governments need to understand what AI companies are doing and keeping an eye on them.

“We are not arguing that we should unilaterally be able to do these things without an oversight, we think it should be regulated.” Schmid added.

However, the former CEOs of Google are also not in favor of much regulation, which he has said that “has ensured that the AI ​​Revolution, which is the most important revolution in my opinion since electricity, is not going to be invented in Europe. Is.”

Nevertheless, China and 17 other countries have come out in support of the policy of administration to restrict the export of powerful microchips to slow down the progress in the Schmidt AI.

The effect of chip control is subject to investigation, given that Deepsek AI recently caught spending a fraction of its costs with other top AI companies in the West and is also important to train its basic models. Using old NVidia chips for.