Debate is intensifying around the world about how artificial intelligence should be developed. Some people are looking for enhanced guardrails to ensure strong technology is developed safely, while others argue that doing so is at risk of organizing a rapidly moving industry.
However, according to Jack Zian, professor of innovation and information management at the University of Hong Kong (HKU) Business School, it is a false dichotomy. He said that the safety and development of AI are two aspects of the same coin, as it is economically valuable only if it is reliable. In his view, reliability must be proven by a third party.
“We're like auditors,” Jiang said in an interview in the post. Over the past two years, he has evaluated the capabilities of dozens of major AI models as director of the AI assessment lab at HKU Business School, and launched it a few months after Openai introduced ChatGpt to the world.
At the time, existential unrest among Chinese tech giants competed prominently from the crowd, wondering if China would catch up with the United States.
The rapid spread of international and Chinese AI models has made it clear to jiang that the business community can help organize the bad things from the bad things. “The choice of a company wasn't a question of whether or not to use AI, but rather a question of how to use it and how to use it,” he said.
