【北京讯】在3月24日的中国发展高层论坛上，图灵奖得主约瑟夫·希发基思教授于钓鱼台国宾馆就人工智能的发展与治理发表了重要观点。希发基思教授，这位在计算机科学领域享有盛誉的专家，指出尽管人工智能（AI）的研究日新月异，尤其是在生成式AI方面取得了显著突破，但当前的AI技术仍局限于弱人工智能的范畴。
据财新网报道，希发基思认为，目前的AI应用主要集中在诸如问答系统等特定领域，展现出了智能的初步面貌，但距离真正的人类智能还有相当大的距离。他强调，现有的AI技术尚未能够实现与人类同步的智能水平，缺乏在复杂情境下理解和决策的能力。
在讨论AI的治理问题时，希发基思提醒，随着AI技术的广泛应用，制定相应的技术和法规以确保其安全、公正与伦理显得尤为重要。他呼吁，科研界和政策制定者应共同努力，不仅要推动技术的进步，还要建立健全的监管框架，以应对AI发展带来的挑战。
希发基思的见解为人工智能的未来发展提供了深思，同时也对全球AI领域的研究和政策制定者提出了新的期待。在全球范围内，如何在推动科技进步的同时，保障AI的健康发展，已成为一个亟待解决的重要议题。
英语如下：
News Title: “Turing Award Winner Hefezakis Alerts: Current AI Limited to Narrow Intelligence, Focus Shifts to Question-Answering Applications”
Keywords: Turing Award, Narrow Artificial Intelligence, Generative AI
News Content: 【Beijing, China】At the China Development Forum on March 24, Professor Joseph Hefezakis, a Turing Award recipient, shared his insights on AI development and governance at Diaoyutai State Guesthouse. The esteemed computer science expert highlighted that while AI research, particularly in generative AI, is rapidly advancing, current technologies still fall within the realm of narrow AI.
According to Caixin Global, Hefezakis believes that AI applications predominantly center on specialized areas like question-and-answer systems, demonstrating初步 signs of intelligence. However, he stressed that these systems are far from emulating human-level intelligence, lacking the ability to comprehend and make decisions in complex situations.
Addressing AI governance, Hefezakis cautioned that as AI becomes more widespread, it is crucial to establish corresponding technical regulations and ethics to ensure safety, fairness, and integrity. He called for a joint effort from the scientific community and policymakers to promote technological advancements alongside the development of robust regulatory frameworks to tackle the challenges posed by AI.
Hefezakis’ perspective offers profound food for thought on the future of AI and poses new expectations for researchers and policymakers worldwide. The pressing issue now is how to foster technological progress while ensuring AI’s healthy development, a challenge that demands immediate attention.
【来源】https://economy.caixin.com/2024-03-24/102178947.html
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