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Is AI really getting dangerously out of control?

Grim warnings of the existential risk posed by AI are all over the news, but there is very little evidence to back them up

Is AI really getting dangerously out of control?

Recent warnings about the dangers of artificial intelligence are unfounded, according to experts who examine the facts rather than sensationalized predictions. Mhairi Aitken, co-founder of Our AI Collective, argues that the narrative of AI becoming an uncontrollable "silicon species" is simply a recurring hysteria rather than an accurate assessment of the technology's state.

In fact, Aitken points out that instances of AI models hacking other companies' computers are due to inadequate safety measures during testing, not the models themselves developing uncontrollable capabilities. Despite claims that AI could self-improve into a superintelligence, there is no concrete evidence to support this theory.

University of Surrey professor Andrew Rogoyski notes that while AI has advanced in areas like mathematics and cybersecurity, the risk it poses has not changed dramatically over the past few years. The hype surrounding AI may stem from human psychology, as we project our fears and behaviors onto the technology, making it seem scarier than it is.

Many tech executives advocating for a slowdown in AI research may actually be trying to prevent regulatory interventions that could hinder their growth by presenting themselves as responsible actors. However, this narrative of impending doom may actually benefit the companies in the long run, as it attracts investment and ensures they maintain a competitive edge.

Experts warn that while there are legitimate concerns about AI's impact, the risk is relatively low and should be taken seriously. Ultimately, the future of AI remains uncertain, but we should prepare for the possibility of an intelligent entity that may not behave in ways we can easily comprehend or control.

Written by urgent.news from New Scientist's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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