Artificial intelligence companies should not repeat the mistakes of cigarette manufacturers

The CEO of artificial intelligence startup Anthropic says companies in the AI ​​industry must be transparent about the risks of their products, or they risk making the same mistakes that befell cigarette, tobacco and opioid companies.

Dario Amodei, CEO of Anthropic, told CBS News that he believes AI will become smarter than all or most humans in all or most aspects. He asked other managers of artificial intelligence companies to be frank and honest in their actions.

Amudi explained that the lack of transparency around the effects of artificial intelligence can repeat the same mistakes made by cigarette and opioid companies and cause the inability to explain the possible harms of these products and sound the alarm in this field.

“You could end up in a world like cigarette or opioid companies, where they knew there were risks, but they didn’t talk about them, and they certainly didn’t prevent them,” said Entropic’s CEO.

Anthropic CEO warns about AI capabilities

Dario Amudi, who has previously warned about the impact of artificial intelligence on jobs such as accounting, law and banking, explained: “Without hard intervention, it is conceivable that there will not be a big impact on the world of business. “I’m concerned that the impact will be broader and faster than what we’ve seen with past technologies.”

The CEO of Anthropic said about the dangers of artificial intelligence in terms of extorting users and conducting cyber attacks: “One of the strengths of models is that they can act arbitrarily. “But the more we empower these systems, the more we can worry about whether they’re doing exactly what we want them to do.”

If a model can help make a biological weapon, it means the level of its capabilities has reached a point where it can help make a vaccine or develop drugs more quickly, Amody says. Therefore, it seems that the role of model makers is essential in guiding these technologies.

“You want a model that will build you a business and make billions in revenue,” he explained. But you don’t want to wake up one day and find yourself out of your company. “So our basic approach is to evaluate these autonomous abilities and do as many weird experiments as possible and see what happens.”