上海的陆家嘴

在3月24日于北京钓鱼台国宾馆举办的中国发展高层论坛上,图灵奖得主约瑟夫·希发基思就人工智能的发展与治理发表了重要观点。希发基思,这位在计算机科学领域有着深远影响力的专家,指出尽管人工智能(AI)研究在近年来取得了显著的突破,尤其是在生成式AI方面,但目前实际应用的AI仍属于弱人工智能(weak AI)的范畴。

希发基思在演讲中强调,目前的AI技术主要集中在问答系统等特定领域,尽管这些系统在处理和理解信息方面展现了一定的智能,但它们的能力仍然是有限的,远远未达到与人类同步的智能水平。他提醒听众,当前的AI并没有发展出全面的智能技术和相应的治理法则,这意味着在AI的进步中,我们需要更加谨慎地平衡技术应用与风险控制。

这一观点为中国乃至全球的AI发展提供了重要的思考角度,即在追求技术进步的同时,必须关注AI的局限性和潜在的社会影响。随着AI技术的不断演进,如何构建适应性强、风险可控的AI治理体系,成为了未来人工智能发展的重要议题。来源:财新网。

英语如下:

Title: Turing Award Winner Hefetz: Current AI Remains Limited to Weak AI, Focused on Question-Answering, Lacking Synchronous Progress in Technological Principles

Keywords: Turing Award, Weak Artificial Intelligence, Hefetz

News Content:

Turing Award recipient Joseph Hefetz warned during the China Development Forum held at the Diaoyutai State Guesthouse in Beijing on March 24 that the current development of artificial intelligence (AI) is still confined to the domain of weak AI.

Hefetz, an influential figure in computer science, pointed out that while AI research has made significant breakthroughs in recent years, particularly in generative AI, the AI in practical use remains in the realm of weak AI. In his speech, he emphasized that current AI technology is primarily concentrated in specific areas like question-answering systems. Although these systems demonstrate some intelligence in processing and understanding information, their capabilities are limited and fall far short of the level of intelligence achieved by humans.

He cautioned the audience that present AI has not evolved comprehensive intelligent technologies or corresponding governance principles, underscoring the need for a cautious balance between technological advancement and risk management in AI’s progression.

Hefetz’s perspective offers a critical angle for China and the global AI landscape, highlighting the importance of acknowledging AI’s limitations and potential social impacts alongside the pursuit of technological progress. As AI technology continues to evolve, the challenge of building a resilient and risk-controlled AI governance framework emerges as a pivotal issue for the future of artificial intelligence. Source: Caixin Global.

【来源】https://economy.caixin.com/2024-03-24/102178947.html

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